Actual source code: ex12.c
1: static char help[] = "Poisson Problem in 2d and 3d with simplicial finite elements.\n\
2: We solve the Poisson problem in a rectangular\n\
3: domain, using a parallel unstructured mesh (DMPLEX) to discretize it.\n\
4: This example supports discretized auxiliary fields (conductivity) as well as\n\
5: multilevel nonlinear solvers.\n\n\n";
7: /*
8: A visualization of the adaptation can be accomplished using:
10: -dm_adapt_view hdf5:$PWD/adapt.h5 -sol_adapt_view hdf5:$PWD/adapt.h5::append -dm_adapt_pre_view hdf5:$PWD/orig.h5 -sol_adapt_pre_view hdf5:$PWD/orig.h5::append
12: Information on refinement:
14: -info :~sys,vec,is,mat,ksp,snes,ts
15: */
17: #include <petscdmplex.h>
18: #include <petscdmadaptor.h>
19: #include <petscsnes.h>
20: #include <petscds.h>
21: #include <petscviewerhdf5.h>
23: typedef enum {
24: NEUMANN,
25: DIRICHLET,
26: NONE
27: } BCType;
28: typedef enum {
29: RUN_FULL,
30: RUN_EXACT,
31: RUN_TEST,
32: RUN_PERF
33: } RunType;
34: typedef enum {
35: COEFF_NONE,
36: COEFF_ANALYTIC,
37: COEFF_FIELD,
38: COEFF_NONLINEAR,
39: COEFF_BALL,
40: COEFF_CROSS,
41: COEFF_CHECKERBOARD_0,
42: COEFF_CHECKERBOARD_1
43: } CoeffType;
45: typedef struct {
46: RunType runType; /* Whether to run tests, or solve the full problem */
47: PetscBool jacobianMF; /* Whether to calculate the Jacobian action on the fly */
48: PetscBool showInitial, showSolution, restart, quiet, nonzInit;
49: /* Problem definition */
50: BCType bcType;
51: CoeffType variableCoefficient;
52: PetscErrorCode (**exactFuncs)(PetscInt dim, PetscReal time, const PetscReal x[], PetscInt Nc, PetscScalar *u, void *ctx);
53: PetscBool fieldBC;
54: void (**exactFields)(PetscInt, PetscInt, PetscInt, const PetscInt[], const PetscInt[], const PetscScalar[], const PetscScalar[], const PetscScalar[], const PetscInt[], const PetscInt[], const PetscScalar[], const PetscScalar[], const PetscScalar[], PetscReal, const PetscReal[], PetscInt, const PetscScalar[], PetscScalar[]);
55: PetscBool bdIntegral; /* Compute the integral of the solution on the boundary */
56: /* Reproducing tests from SISC 40(3), pp. A1473-A1493, 2018 */
57: PetscInt div; /* Number of divisions */
58: PetscInt k; /* Parameter for checkerboard coefficient */
59: PetscInt *kgrid; /* Random parameter grid */
60: PetscBool rand; /* Make random assignments */
61: /* Solver */
62: PC pcmg; /* This is needed for error monitoring */
63: PetscBool checkksp; /* Whether to check the KSPSolve for runType == RUN_TEST */
64: } AppCtx;
66: static PetscErrorCode zero(PetscInt dim, PetscReal time, const PetscReal x[], PetscInt Nc, PetscScalar *u, void *ctx)
67: {
68: u[0] = 0.0;
69: return PETSC_SUCCESS;
70: }
72: static PetscErrorCode ecks(PetscInt dim, PetscReal time, const PetscReal x[], PetscInt Nc, PetscScalar *u, void *ctx)
73: {
74: u[0] = x[0];
75: return PETSC_SUCCESS;
76: }
78: /*
79: In 2D for Dirichlet conditions, we use exact solution:
81: u = x^2 + y^2
82: f = 4
84: so that
86: -\Delta u + f = -4 + 4 = 0
88: For Neumann conditions, we have
90: -\nabla u \cdot -\hat y |_{y=0} = (2y)|_{y=0} = 0 (bottom)
91: -\nabla u \cdot \hat y |_{y=1} = -(2y)|_{y=1} = -2 (top)
92: -\nabla u \cdot -\hat x |_{x=0} = (2x)|_{x=0} = 0 (left)
93: -\nabla u \cdot \hat x |_{x=1} = -(2x)|_{x=1} = -2 (right)
95: Which we can express as
97: \nabla u \cdot \hat n|_\Gamma = {2 x, 2 y} \cdot \hat n = 2 (x + y)
99: The boundary integral of this solution is (assuming we are not orienting the edges)
101: \int^1_0 x^2 dx + \int^1_0 (1 + y^2) dy + \int^1_0 (x^2 + 1) dx + \int^1_0 y^2 dy = 1/3 + 4/3 + 4/3 + 1/3 = 3 1/3
102: */
103: static PetscErrorCode quadratic_u_2d(PetscInt dim, PetscReal time, const PetscReal x[], PetscInt Nc, PetscScalar *u, void *ctx)
104: {
105: *u = x[0] * x[0] + x[1] * x[1];
106: return PETSC_SUCCESS;
107: }
109: static void quadratic_u_field_2d(PetscInt dim, PetscInt Nf, PetscInt NfAux, const PetscInt uOff[], const PetscInt uOff_x[], const PetscScalar u[], const PetscScalar u_t[], const PetscScalar u_x[], const PetscInt aOff[], const PetscInt aOff_x[], const PetscScalar a[], const PetscScalar a_t[], const PetscScalar a_x[], PetscReal t, const PetscReal x[], PetscInt numConstants, const PetscScalar constants[], PetscScalar uexact[])
110: {
111: uexact[0] = a[0];
112: }
114: static PetscErrorCode ball_u_2d(PetscInt dim, PetscReal time, const PetscReal x[], PetscInt Nc, PetscScalar *u, void *ctx)
115: {
116: const PetscReal alpha = 500.;
117: const PetscReal radius2 = PetscSqr(0.15);
118: const PetscReal r2 = PetscSqr(x[0] - 0.5) + PetscSqr(x[1] - 0.5);
119: const PetscReal xi = alpha * (radius2 - r2);
121: *u = PetscTanhScalar(xi) + 1.0;
122: return PETSC_SUCCESS;
123: }
125: static PetscErrorCode cross_u_2d(PetscInt dim, PetscReal time, const PetscReal x[], PetscInt Nc, PetscScalar *u, void *ctx)
126: {
127: const PetscReal alpha = 50 * 4;
128: const PetscReal xy = (x[0] - 0.5) * (x[1] - 0.5);
130: *u = PetscSinReal(alpha * xy) * (alpha * PetscAbsReal(xy) < 2 * PETSC_PI ? 1 : 0.01);
131: return PETSC_SUCCESS;
132: }
134: static void f0_u(PetscInt dim, PetscInt Nf, PetscInt NfAux, const PetscInt uOff[], const PetscInt uOff_x[], const PetscScalar u[], const PetscScalar u_t[], const PetscScalar u_x[], const PetscInt aOff[], const PetscInt aOff_x[], const PetscScalar a[], const PetscScalar a_t[], const PetscScalar a_x[], PetscReal t, const PetscReal x[], PetscInt numConstants, const PetscScalar constants[], PetscScalar f0[])
135: {
136: f0[0] = 4.0;
137: }
139: static void f0_ball_u(PetscInt dim, PetscInt Nf, PetscInt NfAux, const PetscInt uOff[], const PetscInt uOff_x[], const PetscScalar u[], const PetscScalar u_t[], const PetscScalar u_x[], const PetscInt aOff[], const PetscInt aOff_x[], const PetscScalar a[], const PetscScalar a_t[], const PetscScalar a_x[], PetscReal t, const PetscReal x[], PetscInt numConstants, const PetscScalar constants[], PetscScalar f0[])
140: {
141: PetscInt d;
142: const PetscReal alpha = 500., radius2 = PetscSqr(0.15);
143: PetscReal r2, xi;
145: for (d = 0, r2 = 0.0; d < dim; ++d) r2 += PetscSqr(x[d] - 0.5);
146: xi = alpha * (radius2 - r2);
147: f0[0] = (-2.0 * dim * alpha - 8.0 * PetscSqr(alpha) * r2 * PetscTanhReal(xi)) * PetscSqr(1.0 / PetscCoshReal(xi));
148: }
150: static void f0_cross_u_2d(PetscInt dim, PetscInt Nf, PetscInt NfAux, const PetscInt uOff[], const PetscInt uOff_x[], const PetscScalar u[], const PetscScalar u_t[], const PetscScalar u_x[], const PetscInt aOff[], const PetscInt aOff_x[], const PetscScalar a[], const PetscScalar a_t[], const PetscScalar a_x[], PetscReal t, const PetscReal x[], PetscInt numConstants, const PetscScalar constants[], PetscScalar f0[])
151: {
152: const PetscReal alpha = 50 * 4;
153: const PetscReal xy = (x[0] - 0.5) * (x[1] - 0.5);
155: f0[0] = PetscSinReal(alpha * xy) * (alpha * PetscAbsReal(xy) < 2 * PETSC_PI ? 1 : 0.01);
156: }
158: static void f0_checkerboard_0_u(PetscInt dim, PetscInt Nf, PetscInt NfAux, const PetscInt uOff[], const PetscInt uOff_x[], const PetscScalar u[], const PetscScalar u_t[], const PetscScalar u_x[], const PetscInt aOff[], const PetscInt aOff_x[], const PetscScalar a[], const PetscScalar a_t[], const PetscScalar a_x[], PetscReal t, const PetscReal x[], PetscInt numConstants, const PetscScalar constants[], PetscScalar f0[])
159: {
160: f0[0] = -20.0 * PetscExpReal(-(PetscSqr(x[0] - 0.5) + PetscSqr(x[1] - 0.5)));
161: }
163: static void f0_bd_u(PetscInt dim, PetscInt Nf, PetscInt NfAux, const PetscInt uOff[], const PetscInt uOff_x[], const PetscScalar u[], const PetscScalar u_t[], const PetscScalar u_x[], const PetscInt aOff[], const PetscInt aOff_x[], const PetscScalar a[], const PetscScalar a_t[], const PetscScalar a_x[], PetscReal t, const PetscReal x[], const PetscReal n[], PetscInt numConstants, const PetscScalar constants[], PetscScalar f0[])
164: {
165: PetscInt d;
166: for (d = 0, f0[0] = 0.0; d < dim; ++d) f0[0] += -n[d] * 2.0 * x[d];
167: }
169: /* gradU[comp*dim+d] = {u_x, u_y} or {u_x, u_y, u_z} */
170: static void f1_u(PetscInt dim, PetscInt Nf, PetscInt NfAux, const PetscInt uOff[], const PetscInt uOff_x[], const PetscScalar u[], const PetscScalar u_t[], const PetscScalar u_x[], const PetscInt aOff[], const PetscInt aOff_x[], const PetscScalar a[], const PetscScalar a_t[], const PetscScalar a_x[], PetscReal t, const PetscReal x[], PetscInt numConstants, const PetscScalar constants[], PetscScalar f1[])
171: {
172: PetscInt d;
173: for (d = 0; d < dim; ++d) f1[d] = u_x[d];
174: }
176: /* < \nabla v, \nabla u + {\nabla u}^T >
177: This just gives \nabla u, give the perdiagonal for the transpose */
178: static void g3_uu(PetscInt dim, PetscInt Nf, PetscInt NfAux, const PetscInt uOff[], const PetscInt uOff_x[], const PetscScalar u[], const PetscScalar u_t[], const PetscScalar u_x[], const PetscInt aOff[], const PetscInt aOff_x[], const PetscScalar a[], const PetscScalar a_t[], const PetscScalar a_x[], PetscReal t, PetscReal u_tShift, const PetscReal x[], PetscInt numConstants, const PetscScalar constants[], PetscScalar g3[])
179: {
180: PetscInt d;
181: for (d = 0; d < dim; ++d) g3[d * dim + d] = 1.0;
182: }
184: /*
185: In 2D for x periodicity and y Dirichlet conditions, we use exact solution:
187: u = sin(2 pi x)
188: f = -4 pi^2 sin(2 pi x)
190: so that
192: -\Delta u + f = 4 pi^2 sin(2 pi x) - 4 pi^2 sin(2 pi x) = 0
193: */
194: static PetscErrorCode xtrig_u_2d(PetscInt dim, PetscReal time, const PetscReal x[], PetscInt Nc, PetscScalar *u, void *ctx)
195: {
196: *u = PetscSinReal(2.0 * PETSC_PI * x[0]);
197: return PETSC_SUCCESS;
198: }
200: static void f0_xtrig_u(PetscInt dim, PetscInt Nf, PetscInt NfAux, const PetscInt uOff[], const PetscInt uOff_x[], const PetscScalar u[], const PetscScalar u_t[], const PetscScalar u_x[], const PetscInt aOff[], const PetscInt aOff_x[], const PetscScalar a[], const PetscScalar a_t[], const PetscScalar a_x[], PetscReal t, const PetscReal x[], PetscInt numConstants, const PetscScalar constants[], PetscScalar f0[])
201: {
202: f0[0] = -4.0 * PetscSqr(PETSC_PI) * PetscSinReal(2.0 * PETSC_PI * x[0]);
203: }
205: /*
206: In 2D for x-y periodicity, we use exact solution:
208: u = sin(2 pi x) sin(2 pi y)
209: f = -8 pi^2 sin(2 pi x)
211: so that
213: -\Delta u + f = 4 pi^2 sin(2 pi x) sin(2 pi y) + 4 pi^2 sin(2 pi x) sin(2 pi y) - 8 pi^2 sin(2 pi x) = 0
214: */
215: static PetscErrorCode xytrig_u_2d(PetscInt dim, PetscReal time, const PetscReal x[], PetscInt Nc, PetscScalar *u, void *ctx)
216: {
217: *u = PetscSinReal(2.0 * PETSC_PI * x[0]) * PetscSinReal(2.0 * PETSC_PI * x[1]);
218: return PETSC_SUCCESS;
219: }
221: static void f0_xytrig_u(PetscInt dim, PetscInt Nf, PetscInt NfAux, const PetscInt uOff[], const PetscInt uOff_x[], const PetscScalar u[], const PetscScalar u_t[], const PetscScalar u_x[], const PetscInt aOff[], const PetscInt aOff_x[], const PetscScalar a[], const PetscScalar a_t[], const PetscScalar a_x[], PetscReal t, const PetscReal x[], PetscInt numConstants, const PetscScalar constants[], PetscScalar f0[])
222: {
223: f0[0] = -8.0 * PetscSqr(PETSC_PI) * PetscSinReal(2.0 * PETSC_PI * x[0]);
224: }
226: /*
227: In 2D for Dirichlet conditions with a variable coefficient, we use exact solution:
229: u = x^2 + y^2
230: f = 6 (x + y)
231: nu = (x + y)
233: so that
235: -\div \nu \grad u + f = -6 (x + y) + 6 (x + y) = 0
236: */
237: static PetscErrorCode nu_2d(PetscInt dim, PetscReal time, const PetscReal x[], PetscInt Nc, PetscScalar *u, void *ctx)
238: {
239: *u = x[0] + x[1];
240: return PETSC_SUCCESS;
241: }
243: static PetscErrorCode checkerboardCoeff(PetscInt dim, PetscReal time, const PetscReal x[], PetscInt Nc, PetscScalar *u, void *ctx)
244: {
245: AppCtx *user = (AppCtx *)ctx;
246: PetscInt div = user->div;
247: PetscInt k = user->k;
248: PetscInt mask = 0, ind = 0, d;
250: PetscFunctionBeginUser;
251: for (d = 0; d < dim; ++d) mask = (mask + (PetscInt)(x[d] * div)) % 2;
252: if (user->kgrid) {
253: for (d = 0; d < dim; ++d) {
254: if (d > 0) ind *= dim;
255: ind += (PetscInt)(x[d] * div);
256: }
257: k = user->kgrid[ind];
258: }
259: u[0] = mask ? 1.0 : PetscPowRealInt(10.0, -k);
260: PetscFunctionReturn(PETSC_SUCCESS);
261: }
263: void f0_analytic_u(PetscInt dim, PetscInt Nf, PetscInt NfAux, const PetscInt uOff[], const PetscInt uOff_x[], const PetscScalar u[], const PetscScalar u_t[], const PetscScalar u_x[], const PetscInt aOff[], const PetscInt aOff_x[], const PetscScalar a[], const PetscScalar a_t[], const PetscScalar a_x[], PetscReal t, const PetscReal x[], PetscInt numConstants, const PetscScalar constants[], PetscScalar f0[])
264: {
265: f0[0] = 6.0 * (x[0] + x[1]);
266: }
268: /* gradU[comp*dim+d] = {u_x, u_y} or {u_x, u_y, u_z} */
269: void f1_analytic_u(PetscInt dim, PetscInt Nf, PetscInt NfAux, const PetscInt uOff[], const PetscInt uOff_x[], const PetscScalar u[], const PetscScalar u_t[], const PetscScalar u_x[], const PetscInt aOff[], const PetscInt aOff_x[], const PetscScalar a[], const PetscScalar a_t[], const PetscScalar a_x[], PetscReal t, const PetscReal x[], PetscInt numConstants, const PetscScalar constants[], PetscScalar f1[])
270: {
271: PetscInt d;
272: for (d = 0; d < dim; ++d) f1[d] = (x[0] + x[1]) * u_x[d];
273: }
275: void f1_field_u(PetscInt dim, PetscInt Nf, PetscInt NfAux, const PetscInt uOff[], const PetscInt uOff_x[], const PetscScalar u[], const PetscScalar u_t[], const PetscScalar u_x[], const PetscInt aOff[], const PetscInt aOff_x[], const PetscScalar a[], const PetscScalar a_t[], const PetscScalar a_x[], PetscReal t, const PetscReal x[], PetscInt numConstants, const PetscScalar constants[], PetscScalar f1[])
276: {
277: PetscInt d;
278: for (d = 0; d < dim; ++d) f1[d] = a[0] * u_x[d];
279: }
281: /* < \nabla v, \nabla u + {\nabla u}^T >
282: This just gives \nabla u, give the perdiagonal for the transpose */
283: void g3_analytic_uu(PetscInt dim, PetscInt Nf, PetscInt NfAux, const PetscInt uOff[], const PetscInt uOff_x[], const PetscScalar u[], const PetscScalar u_t[], const PetscScalar u_x[], const PetscInt aOff[], const PetscInt aOff_x[], const PetscScalar a[], const PetscScalar a_t[], const PetscScalar a_x[], PetscReal t, PetscReal u_tShift, const PetscReal x[], PetscInt numConstants, const PetscScalar constants[], PetscScalar g3[])
284: {
285: PetscInt d;
286: for (d = 0; d < dim; ++d) g3[d * dim + d] = x[0] + x[1];
287: }
289: void g3_field_uu(PetscInt dim, PetscInt Nf, PetscInt NfAux, const PetscInt uOff[], const PetscInt uOff_x[], const PetscScalar u[], const PetscScalar u_t[], const PetscScalar u_x[], const PetscInt aOff[], const PetscInt aOff_x[], const PetscScalar a[], const PetscScalar a_t[], const PetscScalar a_x[], PetscReal t, PetscReal u_tShift, const PetscReal x[], PetscInt numConstants, const PetscScalar constants[], PetscScalar g3[])
290: {
291: PetscInt d;
292: for (d = 0; d < dim; ++d) g3[d * dim + d] = a[0];
293: }
295: /*
296: In 2D for Dirichlet conditions with a nonlinear coefficient (p-Laplacian with p = 4), we use exact solution:
298: u = x^2 + y^2
299: f = 16 (x^2 + y^2)
300: nu = 1/2 |grad u|^2
302: so that
304: -\div \nu \grad u + f = -16 (x^2 + y^2) + 16 (x^2 + y^2) = 0
305: */
306: void f0_analytic_nonlinear_u(PetscInt dim, PetscInt Nf, PetscInt NfAux, const PetscInt uOff[], const PetscInt uOff_x[], const PetscScalar u[], const PetscScalar u_t[], const PetscScalar u_x[], const PetscInt aOff[], const PetscInt aOff_x[], const PetscScalar a[], const PetscScalar a_t[], const PetscScalar a_x[], PetscReal t, const PetscReal x[], PetscInt numConstants, const PetscScalar constants[], PetscScalar f0[])
307: {
308: f0[0] = 16.0 * (x[0] * x[0] + x[1] * x[1]);
309: }
311: /* gradU[comp*dim+d] = {u_x, u_y} or {u_x, u_y, u_z} */
312: void f1_analytic_nonlinear_u(PetscInt dim, PetscInt Nf, PetscInt NfAux, const PetscInt uOff[], const PetscInt uOff_x[], const PetscScalar u[], const PetscScalar u_t[], const PetscScalar u_x[], const PetscInt aOff[], const PetscInt aOff_x[], const PetscScalar a[], const PetscScalar a_t[], const PetscScalar a_x[], PetscReal t, const PetscReal x[], PetscInt numConstants, const PetscScalar constants[], PetscScalar f1[])
313: {
314: PetscScalar nu = 0.0;
315: PetscInt d;
316: for (d = 0; d < dim; ++d) nu += u_x[d] * u_x[d];
317: for (d = 0; d < dim; ++d) f1[d] = 0.5 * nu * u_x[d];
318: }
320: /*
321: grad (u + eps w) - grad u = eps grad w
323: 1/2 |grad (u + eps w)|^2 grad (u + eps w) - 1/2 |grad u|^2 grad u
324: = 1/2 (|grad u|^2 + 2 eps <grad u,grad w>) (grad u + eps grad w) - 1/2 |grad u|^2 grad u
325: = 1/2 (eps |grad u|^2 grad w + 2 eps <grad u,grad w> grad u)
326: = eps (1/2 |grad u|^2 grad w + grad u <grad u,grad w>)
327: */
328: void g3_analytic_nonlinear_uu(PetscInt dim, PetscInt Nf, PetscInt NfAux, const PetscInt uOff[], const PetscInt uOff_x[], const PetscScalar u[], const PetscScalar u_t[], const PetscScalar u_x[], const PetscInt aOff[], const PetscInt aOff_x[], const PetscScalar a[], const PetscScalar a_t[], const PetscScalar a_x[], PetscReal t, PetscReal u_tShift, const PetscReal x[], PetscInt numConstants, const PetscScalar constants[], PetscScalar g3[])
329: {
330: PetscScalar nu = 0.0;
331: PetscInt d, e;
332: for (d = 0; d < dim; ++d) nu += u_x[d] * u_x[d];
333: for (d = 0; d < dim; ++d) {
334: g3[d * dim + d] = 0.5 * nu;
335: for (e = 0; e < dim; ++e) g3[d * dim + e] += u_x[d] * u_x[e];
336: }
337: }
339: /*
340: In 3D for Dirichlet conditions we use exact solution:
342: u = 2/3 (x^2 + y^2 + z^2)
343: f = 4
345: so that
347: -\Delta u + f = -2/3 * 6 + 4 = 0
349: For Neumann conditions, we have
351: -\nabla u \cdot -\hat z |_{z=0} = (2z)|_{z=0} = 0 (bottom)
352: -\nabla u \cdot \hat z |_{z=1} = -(2z)|_{z=1} = -2 (top)
353: -\nabla u \cdot -\hat y |_{y=0} = (2y)|_{y=0} = 0 (front)
354: -\nabla u \cdot \hat y |_{y=1} = -(2y)|_{y=1} = -2 (back)
355: -\nabla u \cdot -\hat x |_{x=0} = (2x)|_{x=0} = 0 (left)
356: -\nabla u \cdot \hat x |_{x=1} = -(2x)|_{x=1} = -2 (right)
358: Which we can express as
360: \nabla u \cdot \hat n|_\Gamma = {2 x, 2 y, 2z} \cdot \hat n = 2 (x + y + z)
361: */
362: static PetscErrorCode quadratic_u_3d(PetscInt dim, PetscReal time, const PetscReal x[], PetscInt Nc, PetscScalar *u, void *ctx)
363: {
364: *u = 2.0 * (x[0] * x[0] + x[1] * x[1] + x[2] * x[2]) / 3.0;
365: return PETSC_SUCCESS;
366: }
368: static PetscErrorCode ball_u_3d(PetscInt dim, PetscReal time, const PetscReal x[], PetscInt Nc, PetscScalar *u, void *ctx)
369: {
370: const PetscReal alpha = 500.;
371: const PetscReal radius2 = PetscSqr(0.15);
372: const PetscReal r2 = PetscSqr(x[0] - 0.5) + PetscSqr(x[1] - 0.5) + PetscSqr(x[2] - 0.5);
373: const PetscReal xi = alpha * (radius2 - r2);
375: *u = PetscTanhScalar(xi) + 1.0;
376: return PETSC_SUCCESS;
377: }
379: static void quadratic_u_field_3d(PetscInt dim, PetscInt Nf, PetscInt NfAux, const PetscInt uOff[], const PetscInt uOff_x[], const PetscScalar u[], const PetscScalar u_t[], const PetscScalar u_x[], const PetscInt aOff[], const PetscInt aOff_x[], const PetscScalar a[], const PetscScalar a_t[], const PetscScalar a_x[], PetscReal t, const PetscReal x[], PetscInt numConstants, const PetscScalar constants[], PetscScalar uexact[])
380: {
381: uexact[0] = a[0];
382: }
384: static PetscErrorCode cross_u_3d(PetscInt dim, PetscReal time, const PetscReal x[], PetscInt Nc, PetscScalar *u, void *ctx)
385: {
386: const PetscReal alpha = 50 * 4;
387: const PetscReal xyz = (x[0] - 0.5) * (x[1] - 0.5) * (x[2] - 0.5);
389: *u = PetscSinReal(alpha * xyz) * (alpha * PetscAbsReal(xyz) < 2 * PETSC_PI ? (alpha * PetscAbsReal(xyz) > -2 * PETSC_PI ? 1.0 : 0.01) : 0.01);
390: return PETSC_SUCCESS;
391: }
393: static void f0_cross_u_3d(PetscInt dim, PetscInt Nf, PetscInt NfAux, const PetscInt uOff[], const PetscInt uOff_x[], const PetscScalar u[], const PetscScalar u_t[], const PetscScalar u_x[], const PetscInt aOff[], const PetscInt aOff_x[], const PetscScalar a[], const PetscScalar a_t[], const PetscScalar a_x[], PetscReal t, const PetscReal x[], PetscInt numConstants, const PetscScalar constants[], PetscScalar f0[])
394: {
395: const PetscReal alpha = 50 * 4;
396: const PetscReal xyz = (x[0] - 0.5) * (x[1] - 0.5) * (x[2] - 0.5);
398: f0[0] = PetscSinReal(alpha * xyz) * (alpha * PetscAbsReal(xyz) < 2 * PETSC_PI ? (alpha * PetscAbsReal(xyz) > -2 * PETSC_PI ? 1.0 : 0.01) : 0.01);
399: }
401: static void bd_integral_2d(PetscInt dim, PetscInt Nf, PetscInt NfAux, const PetscInt uOff[], const PetscInt uOff_x[], const PetscScalar u[], const PetscScalar u_t[], const PetscScalar u_x[], const PetscInt aOff[], const PetscInt aOff_x[], const PetscScalar a[], const PetscScalar a_t[], const PetscScalar a_x[], PetscReal t, const PetscReal x[], const PetscReal n[], PetscInt numConstants, const PetscScalar constants[], PetscScalar *uint)
402: {
403: uint[0] = u[0];
404: }
406: static PetscErrorCode ProcessOptions(MPI_Comm comm, AppCtx *options)
407: {
408: const char *bcTypes[3] = {"neumann", "dirichlet", "none"};
409: const char *runTypes[4] = {"full", "exact", "test", "perf"};
410: const char *coeffTypes[8] = {"none", "analytic", "field", "nonlinear", "ball", "cross", "checkerboard_0", "checkerboard_1"};
411: PetscInt bc, run, coeff;
413: PetscFunctionBeginUser;
414: options->runType = RUN_FULL;
415: options->bcType = DIRICHLET;
416: options->variableCoefficient = COEFF_NONE;
417: options->fieldBC = PETSC_FALSE;
418: options->jacobianMF = PETSC_FALSE;
419: options->showInitial = PETSC_FALSE;
420: options->showSolution = PETSC_FALSE;
421: options->restart = PETSC_FALSE;
422: options->quiet = PETSC_FALSE;
423: options->nonzInit = PETSC_FALSE;
424: options->bdIntegral = PETSC_FALSE;
425: options->checkksp = PETSC_FALSE;
426: options->div = 4;
427: options->k = 1;
428: options->kgrid = NULL;
429: options->rand = PETSC_FALSE;
431: PetscOptionsBegin(comm, "", "Poisson Problem Options", "DMPLEX");
432: run = options->runType;
433: PetscCall(PetscOptionsEList("-run_type", "The run type", "ex12.c", runTypes, 4, runTypes[options->runType], &run, NULL));
434: options->runType = (RunType)run;
435: bc = options->bcType;
436: PetscCall(PetscOptionsEList("-bc_type", "Type of boundary condition", "ex12.c", bcTypes, 3, bcTypes[options->bcType], &bc, NULL));
437: options->bcType = (BCType)bc;
438: coeff = options->variableCoefficient;
439: PetscCall(PetscOptionsEList("-variable_coefficient", "Type of variable coefficient", "ex12.c", coeffTypes, 8, coeffTypes[options->variableCoefficient], &coeff, NULL));
440: options->variableCoefficient = (CoeffType)coeff;
442: PetscCall(PetscOptionsBool("-field_bc", "Use a field representation for the BC", "ex12.c", options->fieldBC, &options->fieldBC, NULL));
443: PetscCall(PetscOptionsBool("-jacobian_mf", "Calculate the action of the Jacobian on the fly", "ex12.c", options->jacobianMF, &options->jacobianMF, NULL));
444: PetscCall(PetscOptionsBool("-show_initial", "Output the initial guess for verification", "ex12.c", options->showInitial, &options->showInitial, NULL));
445: PetscCall(PetscOptionsBool("-show_solution", "Output the solution for verification", "ex12.c", options->showSolution, &options->showSolution, NULL));
446: PetscCall(PetscOptionsBool("-restart", "Read in the mesh and solution from a file", "ex12.c", options->restart, &options->restart, NULL));
447: PetscCall(PetscOptionsBool("-quiet", "Don't print any vecs", "ex12.c", options->quiet, &options->quiet, NULL));
448: PetscCall(PetscOptionsBool("-nonzero_initial_guess", "nonzero initial guess", "ex12.c", options->nonzInit, &options->nonzInit, NULL));
449: PetscCall(PetscOptionsBool("-bd_integral", "Compute the integral of the solution on the boundary", "ex12.c", options->bdIntegral, &options->bdIntegral, NULL));
450: if (options->runType == RUN_TEST) PetscCall(PetscOptionsBool("-run_test_check_ksp", "Check solution of KSP", "ex12.c", options->checkksp, &options->checkksp, NULL));
451: PetscCall(PetscOptionsInt("-div", "The number of division for the checkerboard coefficient", "ex12.c", options->div, &options->div, NULL));
452: PetscCall(PetscOptionsInt("-k", "The exponent for the checkerboard coefficient", "ex12.c", options->k, &options->k, NULL));
453: PetscCall(PetscOptionsBool("-k_random", "Assign random k values to checkerboard", "ex12.c", options->rand, &options->rand, NULL));
454: PetscOptionsEnd();
455: PetscFunctionReturn(PETSC_SUCCESS);
456: }
458: static PetscErrorCode CreateBCLabel(DM dm, const char name[])
459: {
460: DM plex;
461: DMLabel label;
463: PetscFunctionBeginUser;
464: PetscCall(DMCreateLabel(dm, name));
465: PetscCall(DMGetLabel(dm, name, &label));
466: PetscCall(DMConvert(dm, DMPLEX, &plex));
467: PetscCall(DMPlexMarkBoundaryFaces(plex, 1, label));
468: PetscCall(DMDestroy(&plex));
469: PetscFunctionReturn(PETSC_SUCCESS);
470: }
472: static PetscErrorCode CreateMesh(MPI_Comm comm, AppCtx *user, DM *dm)
473: {
474: PetscFunctionBeginUser;
475: PetscCall(DMCreate(comm, dm));
476: PetscCall(DMSetType(*dm, DMPLEX));
477: PetscCall(DMSetFromOptions(*dm));
478: {
479: char convType[256];
480: PetscBool flg;
482: PetscOptionsBegin(comm, "", "Mesh conversion options", "DMPLEX");
483: PetscCall(PetscOptionsFList("-dm_plex_convert_type", "Convert DMPlex to another format", "ex12", DMList, DMPLEX, convType, 256, &flg));
484: PetscOptionsEnd();
485: if (flg) {
486: DM dmConv;
488: PetscCall(DMConvert(*dm, convType, &dmConv));
489: if (dmConv) {
490: PetscCall(DMDestroy(dm));
491: *dm = dmConv;
492: }
493: PetscCall(DMSetFromOptions(*dm));
494: PetscCall(DMSetUp(*dm));
495: }
496: }
497: PetscCall(DMViewFromOptions(*dm, NULL, "-dm_view"));
498: if (user->rand) {
499: PetscRandom r;
500: PetscReal val;
501: PetscInt dim, N, i;
503: PetscCall(DMGetDimension(*dm, &dim));
504: N = PetscPowInt(user->div, dim);
505: PetscCall(PetscMalloc1(N, &user->kgrid));
506: PetscCall(PetscRandomCreate(PETSC_COMM_SELF, &r));
507: PetscCall(PetscRandomSetFromOptions(r));
508: PetscCall(PetscRandomSetInterval(r, 0.0, user->k));
509: PetscCall(PetscRandomSetSeed(r, 1973));
510: PetscCall(PetscRandomSeed(r));
511: for (i = 0; i < N; ++i) {
512: PetscCall(PetscRandomGetValueReal(r, &val));
513: user->kgrid[i] = 1 + (PetscInt)val;
514: }
515: PetscCall(PetscRandomDestroy(&r));
516: }
517: PetscFunctionReturn(PETSC_SUCCESS);
518: }
520: static PetscErrorCode SetupProblem(DM dm, AppCtx *user)
521: {
522: PetscDS ds;
523: DMLabel label;
524: PetscWeakForm wf;
525: const PetscReal *L;
526: const PetscInt id = 1;
527: PetscInt bd, dim;
529: PetscFunctionBeginUser;
530: PetscCall(DMGetDS(dm, &ds));
531: PetscCall(DMGetDimension(dm, &dim));
532: PetscCall(DMGetPeriodicity(dm, NULL, NULL, &L));
533: switch (user->variableCoefficient) {
534: case COEFF_NONE:
535: if (L && L[0]) {
536: if (L && L[1]) {
537: PetscCall(PetscDSSetResidual(ds, 0, f0_xytrig_u, f1_u));
538: PetscCall(PetscDSSetJacobian(ds, 0, 0, NULL, NULL, NULL, g3_uu));
539: } else {
540: PetscCall(PetscDSSetResidual(ds, 0, f0_xtrig_u, f1_u));
541: PetscCall(PetscDSSetJacobian(ds, 0, 0, NULL, NULL, NULL, g3_uu));
542: }
543: } else {
544: PetscCall(PetscDSSetResidual(ds, 0, f0_u, f1_u));
545: PetscCall(PetscDSSetJacobian(ds, 0, 0, NULL, NULL, NULL, g3_uu));
546: }
547: break;
548: case COEFF_ANALYTIC:
549: PetscCall(PetscDSSetResidual(ds, 0, f0_analytic_u, f1_analytic_u));
550: PetscCall(PetscDSSetJacobian(ds, 0, 0, NULL, NULL, NULL, g3_analytic_uu));
551: break;
552: case COEFF_FIELD:
553: PetscCall(PetscDSSetResidual(ds, 0, f0_analytic_u, f1_field_u));
554: PetscCall(PetscDSSetJacobian(ds, 0, 0, NULL, NULL, NULL, g3_field_uu));
555: break;
556: case COEFF_NONLINEAR:
557: PetscCall(PetscDSSetResidual(ds, 0, f0_analytic_nonlinear_u, f1_analytic_nonlinear_u));
558: PetscCall(PetscDSSetJacobian(ds, 0, 0, NULL, NULL, NULL, g3_analytic_nonlinear_uu));
559: break;
560: case COEFF_BALL:
561: PetscCall(PetscDSSetResidual(ds, 0, f0_ball_u, f1_u));
562: PetscCall(PetscDSSetJacobian(ds, 0, 0, NULL, NULL, NULL, g3_uu));
563: break;
564: case COEFF_CROSS:
565: switch (dim) {
566: case 2:
567: PetscCall(PetscDSSetResidual(ds, 0, f0_cross_u_2d, f1_u));
568: break;
569: case 3:
570: PetscCall(PetscDSSetResidual(ds, 0, f0_cross_u_3d, f1_u));
571: break;
572: default:
573: SETERRQ(PETSC_COMM_WORLD, PETSC_ERR_ARG_OUTOFRANGE, "Invalid dimension %" PetscInt_FMT, dim);
574: }
575: PetscCall(PetscDSSetJacobian(ds, 0, 0, NULL, NULL, NULL, g3_uu));
576: break;
577: case COEFF_CHECKERBOARD_0:
578: PetscCall(PetscDSSetResidual(ds, 0, f0_checkerboard_0_u, f1_field_u));
579: PetscCall(PetscDSSetJacobian(ds, 0, 0, NULL, NULL, NULL, g3_field_uu));
580: break;
581: default:
582: SETERRQ(PETSC_COMM_SELF, PETSC_ERR_ARG_WRONG, "Invalid variable coefficient type %d", user->variableCoefficient);
583: }
584: switch (dim) {
585: case 2:
586: switch (user->variableCoefficient) {
587: case COEFF_BALL:
588: user->exactFuncs[0] = ball_u_2d;
589: break;
590: case COEFF_CROSS:
591: user->exactFuncs[0] = cross_u_2d;
592: break;
593: case COEFF_CHECKERBOARD_0:
594: user->exactFuncs[0] = zero;
595: break;
596: default:
597: if (L && L[0]) {
598: if (L && L[1]) {
599: user->exactFuncs[0] = xytrig_u_2d;
600: } else {
601: user->exactFuncs[0] = xtrig_u_2d;
602: }
603: } else {
604: user->exactFuncs[0] = quadratic_u_2d;
605: user->exactFields[0] = quadratic_u_field_2d;
606: }
607: }
608: if (user->bcType == NEUMANN) {
609: PetscCall(DMGetLabel(dm, "boundary", &label));
610: PetscCall(DMAddBoundary(dm, DM_BC_NATURAL, "wall", label, 1, &id, 0, 0, NULL, NULL, NULL, user, &bd));
611: PetscCall(PetscDSGetBoundary(ds, bd, &wf, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL));
612: PetscCall(PetscWeakFormSetIndexBdResidual(wf, label, id, 0, 0, 0, f0_bd_u, 0, NULL));
613: }
614: break;
615: case 3:
616: switch (user->variableCoefficient) {
617: case COEFF_BALL:
618: user->exactFuncs[0] = ball_u_3d;
619: break;
620: case COEFF_CROSS:
621: user->exactFuncs[0] = cross_u_3d;
622: break;
623: default:
624: user->exactFuncs[0] = quadratic_u_3d;
625: user->exactFields[0] = quadratic_u_field_3d;
626: }
627: if (user->bcType == NEUMANN) {
628: PetscCall(DMGetLabel(dm, "boundary", &label));
629: PetscCall(DMAddBoundary(dm, DM_BC_NATURAL, "wall", label, 1, &id, 0, 0, NULL, NULL, NULL, user, &bd));
630: PetscCall(PetscDSGetBoundary(ds, bd, &wf, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL));
631: PetscCall(PetscWeakFormSetIndexBdResidual(wf, label, id, 0, 0, 0, f0_bd_u, 0, NULL));
632: }
633: break;
634: default:
635: SETERRQ(PETSC_COMM_WORLD, PETSC_ERR_ARG_OUTOFRANGE, "Invalid dimension %" PetscInt_FMT, dim);
636: }
637: /* Setup constants */
638: switch (user->variableCoefficient) {
639: case COEFF_CHECKERBOARD_0: {
640: PetscScalar constants[2];
642: constants[0] = user->div;
643: constants[1] = user->k;
644: PetscCall(PetscDSSetConstants(ds, 2, constants));
645: } break;
646: default:
647: break;
648: }
649: PetscCall(PetscDSSetExactSolution(ds, 0, user->exactFuncs[0], user));
650: /* Setup Boundary Conditions */
651: if (user->bcType == DIRICHLET) {
652: PetscCall(DMGetLabel(dm, "marker", &label));
653: if (!label) {
654: /* Right now, p4est cannot create labels immediately */
655: PetscCall(PetscDSAddBoundaryByName(ds, user->fieldBC ? DM_BC_ESSENTIAL_FIELD : DM_BC_ESSENTIAL, "wall", "marker", 1, &id, 0, 0, NULL, user->fieldBC ? (void (*)(void))user->exactFields[0] : (void (*)(void))user->exactFuncs[0], NULL, user, NULL));
656: } else {
657: PetscCall(DMAddBoundary(dm, user->fieldBC ? DM_BC_ESSENTIAL_FIELD : DM_BC_ESSENTIAL, "wall", label, 1, &id, 0, 0, NULL, user->fieldBC ? (void (*)(void))user->exactFields[0] : (void (*)(void))user->exactFuncs[0], NULL, user, NULL));
658: }
659: }
660: PetscFunctionReturn(PETSC_SUCCESS);
661: }
663: static PetscErrorCode SetupMaterial(DM dm, DM dmAux, AppCtx *user)
664: {
665: PetscErrorCode (*matFuncs[1])(PetscInt dim, PetscReal time, const PetscReal x[], PetscInt Nc, PetscScalar u[], void *ctx) = {nu_2d};
666: void *ctx[1];
667: Vec nu;
669: PetscFunctionBegin;
670: ctx[0] = user;
671: if (user->variableCoefficient == COEFF_CHECKERBOARD_0) matFuncs[0] = checkerboardCoeff;
672: PetscCall(DMCreateLocalVector(dmAux, &nu));
673: PetscCall(PetscObjectSetName((PetscObject)nu, "Coefficient"));
674: PetscCall(DMProjectFunctionLocal(dmAux, 0.0, matFuncs, ctx, INSERT_ALL_VALUES, nu));
675: PetscCall(DMSetAuxiliaryVec(dm, NULL, 0, 0, nu));
676: PetscCall(VecDestroy(&nu));
677: PetscFunctionReturn(PETSC_SUCCESS);
678: }
680: static PetscErrorCode SetupBC(DM dm, DM dmAux, AppCtx *user)
681: {
682: PetscErrorCode (*bcFuncs[1])(PetscInt dim, PetscReal time, const PetscReal x[], PetscInt Nc, PetscScalar u[], void *ctx);
683: Vec uexact;
684: PetscInt dim;
686: PetscFunctionBegin;
687: PetscCall(DMGetDimension(dm, &dim));
688: if (dim == 2) bcFuncs[0] = quadratic_u_2d;
689: else bcFuncs[0] = quadratic_u_3d;
690: PetscCall(DMCreateLocalVector(dmAux, &uexact));
691: PetscCall(DMProjectFunctionLocal(dmAux, 0.0, bcFuncs, NULL, INSERT_ALL_VALUES, uexact));
692: PetscCall(DMSetAuxiliaryVec(dm, NULL, 0, 0, uexact));
693: PetscCall(VecDestroy(&uexact));
694: PetscFunctionReturn(PETSC_SUCCESS);
695: }
697: static PetscErrorCode SetupAuxDM(DM dm, PetscFE feAux, AppCtx *user)
698: {
699: DM dmAux, coordDM;
701: PetscFunctionBegin;
702: /* MUST call DMGetCoordinateDM() in order to get p4est setup if present */
703: PetscCall(DMGetCoordinateDM(dm, &coordDM));
704: if (!feAux) PetscFunctionReturn(PETSC_SUCCESS);
705: PetscCall(DMClone(dm, &dmAux));
706: PetscCall(DMSetCoordinateDM(dmAux, coordDM));
707: PetscCall(DMSetField(dmAux, 0, NULL, (PetscObject)feAux));
708: PetscCall(DMCreateDS(dmAux));
709: if (user->fieldBC) PetscCall(SetupBC(dm, dmAux, user));
710: else PetscCall(SetupMaterial(dm, dmAux, user));
711: PetscCall(DMDestroy(&dmAux));
712: PetscFunctionReturn(PETSC_SUCCESS);
713: }
715: static PetscErrorCode SetupDiscretization(DM dm, AppCtx *user)
716: {
717: DM plex, cdm = dm;
718: PetscFE fe, feAux = NULL;
719: PetscBool simplex;
720: PetscInt dim;
722: PetscFunctionBeginUser;
723: PetscCall(DMGetDimension(dm, &dim));
724: PetscCall(DMConvert(dm, DMPLEX, &plex));
725: PetscCall(DMPlexIsSimplex(plex, &simplex));
726: PetscCall(DMDestroy(&plex));
727: PetscCall(PetscFECreateDefault(PETSC_COMM_SELF, dim, 1, simplex, NULL, -1, &fe));
728: PetscCall(PetscObjectSetName((PetscObject)fe, "potential"));
729: if (user->variableCoefficient == COEFF_FIELD || user->variableCoefficient == COEFF_CHECKERBOARD_0) {
730: PetscCall(PetscFECreateDefault(PETSC_COMM_SELF, dim, 1, simplex, "mat_", -1, &feAux));
731: PetscCall(PetscObjectSetName((PetscObject)feAux, "coefficient"));
732: PetscCall(PetscFECopyQuadrature(fe, feAux));
733: } else if (user->fieldBC) {
734: PetscCall(PetscFECreateDefault(PETSC_COMM_SELF, dim, 1, simplex, "bc_", -1, &feAux));
735: PetscCall(PetscFECopyQuadrature(fe, feAux));
736: }
737: /* Set discretization and boundary conditions for each mesh */
738: PetscCall(DMSetField(dm, 0, NULL, (PetscObject)fe));
739: PetscCall(DMCreateDS(dm));
740: PetscCall(SetupProblem(dm, user));
741: while (cdm) {
742: PetscCall(SetupAuxDM(cdm, feAux, user));
743: if (user->bcType == DIRICHLET) {
744: PetscBool hasLabel;
746: PetscCall(DMHasLabel(cdm, "marker", &hasLabel));
747: if (!hasLabel) PetscCall(CreateBCLabel(cdm, "marker"));
748: }
749: PetscCall(DMCopyDisc(dm, cdm));
750: PetscCall(DMGetCoarseDM(cdm, &cdm));
751: }
752: PetscCall(PetscFEDestroy(&fe));
753: PetscCall(PetscFEDestroy(&feAux));
754: PetscFunctionReturn(PETSC_SUCCESS);
755: }
757: int main(int argc, char **argv)
758: {
759: DM dm; /* Problem specification */
760: SNES snes; /* nonlinear solver */
761: Vec u; /* solution vector */
762: Mat A, J; /* Jacobian matrix */
763: MatNullSpace nullSpace; /* May be necessary for Neumann conditions */
764: AppCtx user; /* user-defined work context */
765: JacActionCtx userJ; /* context for Jacobian MF action */
766: PetscReal error = 0.0; /* L_2 error in the solution */
768: PetscFunctionBeginUser;
769: PetscCall(PetscInitialize(&argc, &argv, NULL, help));
770: PetscCall(ProcessOptions(PETSC_COMM_WORLD, &user));
771: PetscCall(SNESCreate(PETSC_COMM_WORLD, &snes));
772: PetscCall(CreateMesh(PETSC_COMM_WORLD, &user, &dm));
773: PetscCall(SNESSetDM(snes, dm));
774: PetscCall(DMSetApplicationContext(dm, &user));
776: PetscCall(PetscMalloc2(1, &user.exactFuncs, 1, &user.exactFields));
777: PetscCall(SetupDiscretization(dm, &user));
779: PetscCall(DMCreateGlobalVector(dm, &u));
780: PetscCall(PetscObjectSetName((PetscObject)u, "potential"));
782: PetscCall(DMCreateMatrix(dm, &J));
783: if (user.jacobianMF) {
784: PetscInt M, m, N, n;
786: PetscCall(MatGetSize(J, &M, &N));
787: PetscCall(MatGetLocalSize(J, &m, &n));
788: PetscCall(MatCreate(PETSC_COMM_WORLD, &A));
789: PetscCall(MatSetSizes(A, m, n, M, N));
790: PetscCall(MatSetType(A, MATSHELL));
791: PetscCall(MatSetUp(A));
792: #if 0
793: PetscCall(MatShellSetOperation(A, MATOP_MULT, (void (*)(void))FormJacobianAction));
794: #endif
796: userJ.dm = dm;
797: userJ.J = J;
798: userJ.user = &user;
800: PetscCall(DMCreateLocalVector(dm, &userJ.u));
801: if (user.fieldBC) PetscCall(DMProjectFieldLocal(dm, 0.0, userJ.u, user.exactFields, INSERT_BC_VALUES, userJ.u));
802: else PetscCall(DMProjectFunctionLocal(dm, 0.0, user.exactFuncs, NULL, INSERT_BC_VALUES, userJ.u));
803: PetscCall(MatShellSetContext(A, &userJ));
804: } else {
805: A = J;
806: }
808: nullSpace = NULL;
809: if (user.bcType != DIRICHLET) {
810: PetscCall(MatNullSpaceCreate(PetscObjectComm((PetscObject)dm), PETSC_TRUE, 0, NULL, &nullSpace));
811: PetscCall(MatSetNullSpace(A, nullSpace));
812: }
814: PetscCall(DMPlexSetSNESLocalFEM(dm, PETSC_FALSE, &user));
815: PetscCall(SNESSetJacobian(snes, A, J, NULL, NULL));
817: PetscCall(SNESSetFromOptions(snes));
819: if (user.fieldBC) PetscCall(DMProjectField(dm, 0.0, u, user.exactFields, INSERT_ALL_VALUES, u));
820: else PetscCall(DMProjectFunction(dm, 0.0, user.exactFuncs, NULL, INSERT_ALL_VALUES, u));
821: if (user.restart) {
822: #if defined(PETSC_HAVE_HDF5)
823: PetscViewer viewer;
824: char filename[PETSC_MAX_PATH_LEN];
826: PetscCall(PetscOptionsGetString(NULL, NULL, "-dm_plex_filename", filename, sizeof(filename), NULL));
827: PetscCall(PetscViewerCreate(PETSC_COMM_WORLD, &viewer));
828: PetscCall(PetscViewerSetType(viewer, PETSCVIEWERHDF5));
829: PetscCall(PetscViewerFileSetMode(viewer, FILE_MODE_READ));
830: PetscCall(PetscViewerFileSetName(viewer, filename));
831: PetscCall(PetscViewerHDF5PushGroup(viewer, "/fields"));
832: PetscCall(VecLoad(u, viewer));
833: PetscCall(PetscViewerHDF5PopGroup(viewer));
834: PetscCall(PetscViewerDestroy(&viewer));
835: #endif
836: }
837: if (user.showInitial) {
838: Vec lv;
839: PetscCall(DMGetLocalVector(dm, &lv));
840: PetscCall(DMGlobalToLocalBegin(dm, u, INSERT_VALUES, lv));
841: PetscCall(DMGlobalToLocalEnd(dm, u, INSERT_VALUES, lv));
842: PetscCall(DMPrintLocalVec(dm, "Local function", 1.0e-10, lv));
843: PetscCall(DMRestoreLocalVector(dm, &lv));
844: }
845: if (user.runType == RUN_FULL || user.runType == RUN_EXACT) {
846: PetscErrorCode (*initialGuess[1])(PetscInt dim, PetscReal time, const PetscReal x[], PetscInt Nc, PetscScalar u[], void *ctx) = {zero};
848: if (user.nonzInit) initialGuess[0] = ecks;
849: if (user.runType == RUN_FULL) PetscCall(DMProjectFunction(dm, 0.0, initialGuess, NULL, INSERT_VALUES, u));
850: PetscCall(VecViewFromOptions(u, NULL, "-guess_vec_view"));
851: PetscCall(SNESSolve(snes, NULL, u));
852: PetscCall(SNESGetSolution(snes, &u));
853: PetscCall(SNESGetDM(snes, &dm));
855: if (user.showSolution) {
856: PetscCall(PetscPrintf(PETSC_COMM_WORLD, "Solution\n"));
857: PetscCall(VecFilter(u, 3.0e-9));
858: PetscCall(VecView(u, PETSC_VIEWER_STDOUT_WORLD));
859: }
860: } else if (user.runType == RUN_PERF) {
861: Vec r;
862: PetscReal res = 0.0;
864: PetscCall(SNESGetFunction(snes, &r, NULL, NULL));
865: PetscCall(SNESComputeFunction(snes, u, r));
866: PetscCall(PetscPrintf(PETSC_COMM_WORLD, "Initial Residual\n"));
867: PetscCall(VecFilter(r, 1.0e-10));
868: PetscCall(VecNorm(r, NORM_2, &res));
869: PetscCall(PetscPrintf(PETSC_COMM_WORLD, "L_2 Residual: %g\n", (double)res));
870: } else {
871: Vec r;
872: PetscReal res = 0.0, tol = 1.0e-11;
874: /* Check discretization error */
875: PetscCall(SNESGetFunction(snes, &r, NULL, NULL));
876: PetscCall(PetscPrintf(PETSC_COMM_WORLD, "Initial guess\n"));
877: if (!user.quiet) PetscCall(VecView(u, PETSC_VIEWER_STDOUT_WORLD));
878: PetscCall(DMComputeL2Diff(dm, 0.0, user.exactFuncs, NULL, u, &error));
879: if (error < tol) PetscCall(PetscPrintf(PETSC_COMM_WORLD, "L_2 Error: < %2.1e\n", (double)tol));
880: else PetscCall(PetscPrintf(PETSC_COMM_WORLD, "L_2 Error: %g\n", (double)error));
881: /* Check residual */
882: PetscCall(SNESComputeFunction(snes, u, r));
883: PetscCall(PetscPrintf(PETSC_COMM_WORLD, "Initial Residual\n"));
884: PetscCall(VecFilter(r, 1.0e-10));
885: if (!user.quiet) PetscCall(VecView(r, PETSC_VIEWER_STDOUT_WORLD));
886: PetscCall(VecNorm(r, NORM_2, &res));
887: PetscCall(PetscPrintf(PETSC_COMM_WORLD, "L_2 Residual: %g\n", (double)res));
888: /* Check Jacobian */
889: {
890: Vec b;
892: PetscCall(SNESComputeJacobian(snes, u, A, A));
893: PetscCall(VecDuplicate(u, &b));
894: PetscCall(VecSet(r, 0.0));
895: PetscCall(SNESComputeFunction(snes, r, b));
896: PetscCall(MatMult(A, u, r));
897: PetscCall(VecAXPY(r, 1.0, b));
898: PetscCall(PetscPrintf(PETSC_COMM_WORLD, "Au - b = Au + F(0)\n"));
899: PetscCall(VecFilter(r, 1.0e-10));
900: if (!user.quiet) PetscCall(VecView(r, PETSC_VIEWER_STDOUT_WORLD));
901: PetscCall(VecNorm(r, NORM_2, &res));
902: PetscCall(PetscPrintf(PETSC_COMM_WORLD, "Linear L_2 Residual: %g\n", (double)res));
903: /* check solver */
904: if (user.checkksp) {
905: KSP ksp;
907: if (nullSpace) PetscCall(MatNullSpaceRemove(nullSpace, u));
908: PetscCall(SNESComputeJacobian(snes, u, A, J));
909: PetscCall(MatMult(A, u, b));
910: PetscCall(SNESGetKSP(snes, &ksp));
911: PetscCall(KSPSetOperators(ksp, A, J));
912: PetscCall(KSPSolve(ksp, b, r));
913: PetscCall(VecAXPY(r, -1.0, u));
914: PetscCall(VecNorm(r, NORM_2, &res));
915: PetscCall(PetscPrintf(PETSC_COMM_WORLD, "KSP Error: %g\n", (double)res));
916: }
917: PetscCall(VecDestroy(&b));
918: }
919: }
920: PetscCall(VecViewFromOptions(u, NULL, "-vec_view"));
921: {
922: Vec nu;
924: PetscCall(DMGetAuxiliaryVec(dm, NULL, 0, 0, &nu));
925: if (nu) PetscCall(VecViewFromOptions(nu, NULL, "-coeff_view"));
926: }
928: if (user.bdIntegral) {
929: DMLabel label;
930: PetscBdPointFunc func[1] = {bd_integral_2d};
931: PetscInt id = 1;
932: PetscScalar bdInt = 0.0;
933: PetscReal exact = 3.3333333333;
935: PetscCall(DMGetLabel(dm, "marker", &label));
936: PetscCall(DMPlexComputeBdIntegral(dm, u, label, 1, &id, func, &bdInt, NULL));
937: PetscCall(PetscPrintf(PETSC_COMM_WORLD, "Solution boundary integral: %.4g\n", (double)PetscAbsScalar(bdInt)));
938: PetscCheck(PetscAbsReal(PetscAbsScalar(bdInt) - exact) <= PETSC_SQRT_MACHINE_EPSILON, PETSC_COMM_WORLD, PETSC_ERR_PLIB, "Invalid boundary integral %g != %g", (double)PetscAbsScalar(bdInt), (double)exact);
939: }
941: PetscCall(MatNullSpaceDestroy(&nullSpace));
942: if (user.jacobianMF) PetscCall(VecDestroy(&userJ.u));
943: if (A != J) PetscCall(MatDestroy(&A));
944: PetscCall(MatDestroy(&J));
945: PetscCall(VecDestroy(&u));
946: PetscCall(SNESDestroy(&snes));
947: PetscCall(DMDestroy(&dm));
948: PetscCall(PetscFree2(user.exactFuncs, user.exactFields));
949: PetscCall(PetscFree(user.kgrid));
950: PetscCall(PetscFinalize());
951: return 0;
952: }
954: /*TEST
955: # 2D serial P1 test 0-4
956: test:
957: suffix: 2d_p1_0
958: requires: triangle
959: args: -run_type test -bc_type dirichlet -dm_plex_interpolate 0 -petscspace_degree 1 -show_initial -dm_plex_print_fem 1
961: test:
962: suffix: 2d_p1_1
963: requires: triangle
964: args: -run_type test -bc_type dirichlet -petscspace_degree 1 -show_initial -dm_plex_print_fem 1
966: test:
967: suffix: 2d_p1_2
968: requires: triangle
969: args: -run_type test -dm_refine_volume_limit_pre 0.0625 -bc_type dirichlet -petscspace_degree 1 -show_initial -dm_plex_print_fem 1
971: test:
972: suffix: 2d_p1_neumann_0
973: requires: triangle
974: args: -dm_coord_space 0 -run_type test -bc_type neumann -dm_plex_boundary_label boundary -petscspace_degree 1 -show_initial -dm_plex_print_fem 1 -dm_view ascii::ascii_info_detail
976: test:
977: suffix: 2d_p1_neumann_1
978: requires: triangle
979: args: -run_type test -dm_refine_volume_limit_pre 0.0625 -bc_type neumann -dm_plex_boundary_label boundary -petscspace_degree 1 -show_initial -dm_plex_print_fem 1
981: # 2D serial P2 test 5-8
982: test:
983: suffix: 2d_p2_0
984: requires: triangle
985: args: -run_type test -bc_type dirichlet -petscspace_degree 2 -show_initial -dm_plex_print_fem 1
987: test:
988: suffix: 2d_p2_1
989: requires: triangle
990: args: -run_type test -dm_refine_volume_limit_pre 0.0625 -bc_type dirichlet -petscspace_degree 2 -show_initial -dm_plex_print_fem 1
992: test:
993: suffix: 2d_p2_neumann_0
994: requires: triangle
995: args: -dm_coord_space 0 -run_type test -bc_type neumann -dm_plex_boundary_label boundary -petscspace_degree 2 -show_initial -dm_plex_print_fem 1 -dm_view ascii::ascii_info_detail
997: test:
998: suffix: 2d_p2_neumann_1
999: requires: triangle
1000: args: -dm_coord_space 0 -run_type test -dm_refine_volume_limit_pre 0.0625 -bc_type neumann -dm_plex_boundary_label boundary -petscspace_degree 2 -show_initial -dm_plex_print_fem 1 -dm_view ascii::ascii_info_detail
1002: test:
1003: suffix: bd_int_0
1004: requires: triangle
1005: args: -run_type test -bc_type dirichlet -petscspace_degree 2 -bd_integral -dm_view -quiet
1007: test:
1008: suffix: bd_int_1
1009: requires: triangle
1010: args: -run_type test -dm_refine 2 -bc_type dirichlet -petscspace_degree 2 -bd_integral -dm_view -quiet
1012: # 3D serial P1 test 9-12
1013: test:
1014: suffix: 3d_p1_0
1015: requires: ctetgen
1016: args: -run_type test -dm_plex_dim 3 -bc_type dirichlet -dm_plex_interpolate 0 -petscspace_degree 1 -show_initial -dm_plex_print_fem 1 -dm_view
1018: test:
1019: suffix: 3d_p1_1
1020: requires: ctetgen
1021: args: -run_type test -dm_plex_dim 3 -bc_type dirichlet -petscspace_degree 1 -show_initial -dm_plex_print_fem 1 -dm_view
1023: test:
1024: suffix: 3d_p1_2
1025: requires: ctetgen
1026: args: -run_type test -dm_plex_dim 3 -dm_refine_volume_limit_pre 0.0125 -bc_type dirichlet -petscspace_degree 1 -show_initial -dm_plex_print_fem 1 -dm_view
1028: test:
1029: suffix: 3d_p1_neumann_0
1030: requires: ctetgen
1031: args: -run_type test -dm_plex_dim 3 -bc_type neumann -dm_plex_boundary_label boundary -petscspace_degree 1 -snes_fd -show_initial -dm_plex_print_fem 1 -dm_view
1033: # Analytic variable coefficient 13-20
1034: test:
1035: suffix: 13
1036: requires: triangle
1037: args: -run_type test -variable_coefficient analytic -petscspace_degree 1 -show_initial -dm_plex_print_fem 1
1038: test:
1039: suffix: 14
1040: requires: triangle
1041: args: -run_type test -dm_refine_volume_limit_pre 0.0625 -variable_coefficient analytic -petscspace_degree 1 -show_initial -dm_plex_print_fem 1
1042: test:
1043: suffix: 15
1044: requires: triangle
1045: args: -run_type test -variable_coefficient analytic -petscspace_degree 2 -show_initial -dm_plex_print_fem 1
1046: test:
1047: suffix: 16
1048: requires: triangle
1049: args: -run_type test -dm_refine_volume_limit_pre 0.0625 -variable_coefficient analytic -petscspace_degree 2 -show_initial -dm_plex_print_fem 1
1050: test:
1051: suffix: 17
1052: requires: ctetgen
1053: args: -run_type test -dm_plex_dim 3 -variable_coefficient analytic -petscspace_degree 1 -show_initial -dm_plex_print_fem 1
1055: test:
1056: suffix: 18
1057: requires: ctetgen
1058: args: -run_type test -dm_plex_dim 3 -dm_refine_volume_limit_pre 0.0125 -variable_coefficient analytic -petscspace_degree 1 -show_initial -dm_plex_print_fem 1
1060: test:
1061: suffix: 19
1062: requires: ctetgen
1063: args: -run_type test -dm_plex_dim 3 -variable_coefficient analytic -petscspace_degree 2 -show_initial -dm_plex_print_fem 1
1065: test:
1066: suffix: 20
1067: requires: ctetgen
1068: args: -run_type test -dm_plex_dim 3 -dm_refine_volume_limit_pre 0.0125 -variable_coefficient analytic -petscspace_degree 2 -show_initial -dm_plex_print_fem 1
1070: # P1 variable coefficient 21-28
1071: test:
1072: suffix: 21
1073: requires: triangle
1074: args: -run_type test -variable_coefficient field -petscspace_degree 1 -mat_petscspace_degree 1 -show_initial -dm_plex_print_fem 1
1076: test:
1077: suffix: 22
1078: requires: triangle
1079: args: -run_type test -dm_refine_volume_limit_pre 0.0625 -variable_coefficient field -petscspace_degree 1 -mat_petscspace_degree 1 -show_initial -dm_plex_print_fem 1
1081: test:
1082: suffix: 23
1083: requires: triangle
1084: args: -run_type test -variable_coefficient field -petscspace_degree 2 -mat_petscspace_degree 1 -show_initial -dm_plex_print_fem 1
1086: test:
1087: suffix: 24
1088: requires: triangle
1089: args: -run_type test -dm_refine_volume_limit_pre 0.0625 -variable_coefficient field -petscspace_degree 2 -mat_petscspace_degree 1 -show_initial -dm_plex_print_fem 1
1091: test:
1092: suffix: 25
1093: requires: ctetgen
1094: args: -run_type test -dm_plex_dim 3 -variable_coefficient field -petscspace_degree 1 -mat_petscspace_degree 1 -show_initial -dm_plex_print_fem 1
1096: test:
1097: suffix: 26
1098: requires: ctetgen
1099: args: -run_type test -dm_plex_dim 3 -dm_refine_volume_limit_pre 0.0125 -variable_coefficient field -petscspace_degree 1 -mat_petscspace_degree 1 -show_initial -dm_plex_print_fem 1
1101: test:
1102: suffix: 27
1103: requires: ctetgen
1104: args: -run_type test -dm_plex_dim 3 -variable_coefficient field -petscspace_degree 2 -mat_petscspace_degree 1 -show_initial -dm_plex_print_fem 1
1106: test:
1107: suffix: 28
1108: requires: ctetgen
1109: args: -run_type test -dm_plex_dim 3 -dm_refine_volume_limit_pre 0.0125 -variable_coefficient field -petscspace_degree 2 -mat_petscspace_degree 1 -show_initial -dm_plex_print_fem 1
1111: # P0 variable coefficient 29-36
1112: test:
1113: suffix: 29
1114: requires: triangle
1115: args: -run_type test -variable_coefficient field -petscspace_degree 1 -show_initial -dm_plex_print_fem 1
1117: test:
1118: suffix: 30
1119: requires: triangle
1120: args: -run_type test -dm_refine_volume_limit_pre 0.0625 -variable_coefficient field -petscspace_degree 1 -show_initial -dm_plex_print_fem 1
1122: test:
1123: suffix: 31
1124: requires: triangle
1125: args: -run_type test -variable_coefficient field -petscspace_degree 2 -show_initial -dm_plex_print_fem 1
1127: test:
1128: requires: triangle
1129: suffix: 32
1130: args: -run_type test -dm_refine_volume_limit_pre 0.0625 -variable_coefficient field -petscspace_degree 2 -show_initial -dm_plex_print_fem 1
1132: test:
1133: requires: ctetgen
1134: suffix: 33
1135: args: -run_type test -dm_plex_dim 3 -variable_coefficient field -petscspace_degree 1 -show_initial -dm_plex_print_fem 1
1137: test:
1138: suffix: 34
1139: requires: ctetgen
1140: args: -run_type test -dm_plex_dim 3 -dm_refine_volume_limit_pre 0.0125 -variable_coefficient field -petscspace_degree 1 -show_initial -dm_plex_print_fem 1
1142: test:
1143: suffix: 35
1144: requires: ctetgen
1145: args: -run_type test -dm_plex_dim 3 -variable_coefficient field -petscspace_degree 2 -show_initial -dm_plex_print_fem 1
1147: test:
1148: suffix: 36
1149: requires: ctetgen
1150: args: -run_type test -dm_plex_dim 3 -dm_refine_volume_limit_pre 0.0125 -variable_coefficient field -petscspace_degree 2 -show_initial -dm_plex_print_fem 1
1152: # Full solve 39-44
1153: test:
1154: suffix: 39
1155: requires: triangle !single
1156: args: -run_type full -dm_refine_volume_limit_pre 0.015625 -petscspace_degree 2 -pc_type gamg -pc_gamg_esteig_ksp_type cg -pc_gamg_esteig_ksp_max_it 10 -snes_rtol 1.0e-6 -ksp_rtol 1.0e-7 -ksp_monitor -ksp_converged_reason -snes_monitor_short -snes_converged_reason ::ascii_info_detail
1157: test:
1158: suffix: 40
1159: requires: triangle !single
1160: args: -run_type full -dm_refine_volume_limit_pre 0.015625 -variable_coefficient nonlinear -petscspace_degree 2 -pc_type svd -ksp_rtol 1.0e-10 -snes_monitor_short -snes_converged_reason ::ascii_info_detail
1161: test:
1162: suffix: 41
1163: requires: triangle !single
1164: args: -run_type full -dm_refine_volume_limit_pre 0.03125 -variable_coefficient nonlinear -petscspace_degree 1 -snes_type fas -snes_fas_levels 2 -fas_coarse_pc_type svd -fas_coarse_ksp_rtol 1.0e-10 -fas_coarse_snes_monitor_short -snes_monitor_short -fas_coarse_snes_linesearch_type basic -snes_converged_reason ::ascii_info_detail -dm_refine_hierarchy 1 -snes_view -fas_levels_1_snes_type newtonls -fas_levels_1_pc_type svd -fas_levels_1_ksp_rtol 1.0e-10 -fas_levels_1_snes_monitor_short
1165: test:
1166: suffix: 42
1167: requires: triangle !single
1168: args: -run_type full -dm_refine_volume_limit_pre 0.0625 -variable_coefficient nonlinear -petscspace_degree 1 -snes_type fas -snes_fas_levels 3 -fas_coarse_pc_type svd -fas_coarse_ksp_rtol 1.0e-10 -fas_coarse_snes_monitor_short -snes_monitor_short -fas_coarse_snes_linesearch_type basic -snes_converged_reason ::ascii_info_detail -dm_refine_hierarchy 2 -snes_view -fas_levels_1_snes_type newtonls -fas_levels_1_pc_type svd -fas_levels_1_ksp_rtol 1.0e-10 -fas_levels_1_snes_monitor_short -fas_levels_2_snes_type newtonls -fas_levels_2_pc_type svd -fas_levels_2_ksp_rtol 1.0e-10 -fas_levels_2_snes_atol 1.0e-11 -fas_levels_2_snes_monitor_short
1169: test:
1170: suffix: 43
1171: requires: triangle !single
1172: nsize: 2
1173: args: -run_type full -dm_refine_volume_limit_pre 0.03125 -variable_coefficient nonlinear -petscspace_degree 1 -snes_type fas -snes_fas_levels 2 -fas_coarse_pc_type svd -fas_coarse_ksp_rtol 1.0e-10 -fas_coarse_snes_monitor_short -snes_monitor_short -fas_coarse_snes_linesearch_type basic -snes_converged_reason ::ascii_info_detail -dm_refine_hierarchy 1 -snes_view -fas_levels_1_snes_type newtonls -fas_levels_1_pc_type svd -fas_levels_1_ksp_rtol 1.0e-10 -fas_levels_1_snes_monitor_short
1175: test:
1176: suffix: 44
1177: requires: triangle !single
1178: nsize: 2
1179: args: -run_type full -dm_refine_volume_limit_pre 0.0625 -variable_coefficient nonlinear -petscspace_degree 1 -snes_type fas -snes_fas_levels 3 -fas_coarse_pc_type svd -fas_coarse_ksp_rtol 1.0e-10 -fas_coarse_snes_monitor_short -snes_monitor_short -fas_coarse_snes_linesearch_type basic -snes_converged_reason ::ascii_info_detail -dm_refine_hierarchy 2 -dm_plex_print_fem 0 -snes_view -fas_levels_1_snes_type newtonls -fas_levels_1_pc_type svd -fas_levels_1_ksp_rtol 1.0e-10 -fas_levels_1_snes_monitor_short -fas_levels_2_snes_type newtonls -fas_levels_2_pc_type svd -fas_levels_2_ksp_rtol 1.0e-10 -fas_levels_2_snes_atol 1.0e-11 -fas_levels_2_snes_monitor_short
1181: # These tests use a loose tolerance just to exercise the PtAP operations for MATIS and multiple PCBDDC setup calls inside PCMG
1182: testset:
1183: requires: triangle !single
1184: nsize: 3
1185: args: -run_type full -petscspace_degree 1 -dm_mat_type is -pc_type mg -mg_coarse_pc_type bddc -pc_mg_galerkin pmat -ksp_rtol 1.0e-2 -snes_converged_reason -dm_refine_hierarchy 2 -snes_max_it 4
1186: test:
1187: suffix: gmg_bddc
1188: filter: sed -e "s/CONVERGED_FNORM_RELATIVE iterations 3/CONVERGED_FNORM_RELATIVE iterations 4/g"
1189: args: -mg_levels_pc_type jacobi
1190: test:
1191: filter: sed -e "s/iterations [0-4]/iterations 4/g"
1192: suffix: gmg_bddc_lev
1193: args: -mg_levels_pc_type bddc
1195: # Restarting
1196: testset:
1197: suffix: restart
1198: requires: hdf5 triangle !complex
1199: args: -run_type test -bc_type dirichlet -petscspace_degree 1
1200: test:
1201: args: -dm_view hdf5:sol.h5 -vec_view hdf5:sol.h5::append
1202: test:
1203: args: -dm_plex_filename sol.h5 -dm_plex_name box -restart
1205: # Periodicity
1206: test:
1207: suffix: periodic_0
1208: requires: triangle
1209: args: -run_type full -bc_type dirichlet -petscspace_degree 1 -snes_converged_reason ::ascii_info_detail
1211: test:
1212: requires: !complex
1213: suffix: periodic_1
1214: args: -quiet -run_type test -dm_plex_simplex 0 -dm_plex_box_faces 3,3 -dm_plex_box_bd periodic,periodic -vec_view vtk:test.vtu:vtk_vtu -petscspace_degree 1 -dm_refine 1
1216: # 2D serial P1 test with field bc
1217: test:
1218: suffix: field_bc_2d_p1_0
1219: requires: triangle
1220: args: -run_type test -bc_type dirichlet -field_bc -petscspace_degree 1 -bc_petscspace_degree 2 -show_initial -dm_plex_print_fem 1
1222: test:
1223: suffix: field_bc_2d_p1_1
1224: requires: triangle
1225: args: -run_type test -dm_refine 1 -bc_type dirichlet -field_bc -petscspace_degree 1 -bc_petscspace_degree 2 -show_initial -dm_plex_print_fem 1
1227: test:
1228: suffix: field_bc_2d_p1_neumann_0
1229: requires: triangle
1230: args: -run_type test -bc_type neumann -dm_plex_boundary_label boundary -field_bc -petscspace_degree 1 -bc_petscspace_degree 2 -show_initial -dm_plex_print_fem 1
1232: test:
1233: suffix: field_bc_2d_p1_neumann_1
1234: requires: triangle
1235: args: -run_type test -dm_refine 1 -bc_type neumann -dm_plex_boundary_label boundary -field_bc -petscspace_degree 1 -bc_petscspace_degree 2 -show_initial -dm_plex_print_fem 1
1237: # 3D serial P1 test with field bc
1238: test:
1239: suffix: field_bc_3d_p1_0
1240: requires: ctetgen
1241: args: -run_type test -dm_plex_dim 3 -bc_type dirichlet -field_bc -petscspace_degree 1 -bc_petscspace_degree 2 -show_initial -dm_plex_print_fem 1
1243: test:
1244: suffix: field_bc_3d_p1_1
1245: requires: ctetgen
1246: args: -run_type test -dm_plex_dim 3 -dm_refine 1 -bc_type dirichlet -field_bc -petscspace_degree 1 -bc_petscspace_degree 2 -show_initial -dm_plex_print_fem 1
1248: test:
1249: suffix: field_bc_3d_p1_neumann_0
1250: requires: ctetgen
1251: args: -run_type test -dm_plex_dim 3 -bc_type neumann -dm_plex_boundary_label boundary -field_bc -petscspace_degree 1 -bc_petscspace_degree 2 -show_initial -dm_plex_print_fem 1
1253: test:
1254: suffix: field_bc_3d_p1_neumann_1
1255: requires: ctetgen
1256: args: -run_type test -dm_plex_dim 3 -dm_refine 1 -bc_type neumann -dm_plex_boundary_label boundary -field_bc -petscspace_degree 1 -bc_petscspace_degree 2 -show_initial -dm_plex_print_fem 1
1258: # 2D serial P2 test with field bc
1259: test:
1260: suffix: field_bc_2d_p2_0
1261: requires: triangle
1262: args: -run_type test -bc_type dirichlet -field_bc -petscspace_degree 2 -bc_petscspace_degree 2 -show_initial -dm_plex_print_fem 1
1264: test:
1265: suffix: field_bc_2d_p2_1
1266: requires: triangle
1267: args: -run_type test -dm_refine 1 -bc_type dirichlet -field_bc -petscspace_degree 2 -bc_petscspace_degree 2 -show_initial -dm_plex_print_fem 1
1269: test:
1270: suffix: field_bc_2d_p2_neumann_0
1271: requires: triangle
1272: args: -run_type test -bc_type neumann -dm_plex_boundary_label boundary -field_bc -petscspace_degree 2 -bc_petscspace_degree 2 -show_initial -dm_plex_print_fem 1
1274: test:
1275: suffix: field_bc_2d_p2_neumann_1
1276: requires: triangle
1277: args: -run_type test -dm_refine 1 -bc_type neumann -dm_plex_boundary_label boundary -field_bc -petscspace_degree 2 -bc_petscspace_degree 2 -show_initial -dm_plex_print_fem 1
1279: # 3D serial P2 test with field bc
1280: test:
1281: suffix: field_bc_3d_p2_0
1282: requires: ctetgen
1283: args: -run_type test -dm_plex_dim 3 -bc_type dirichlet -field_bc -petscspace_degree 2 -bc_petscspace_degree 2 -show_initial -dm_plex_print_fem 1
1285: test:
1286: suffix: field_bc_3d_p2_1
1287: requires: ctetgen
1288: args: -run_type test -dm_plex_dim 3 -dm_refine 1 -bc_type dirichlet -field_bc -petscspace_degree 2 -bc_petscspace_degree 2 -show_initial -dm_plex_print_fem 1
1290: test:
1291: suffix: field_bc_3d_p2_neumann_0
1292: requires: ctetgen
1293: args: -run_type test -dm_plex_dim 3 -bc_type neumann -dm_plex_boundary_label boundary -field_bc -petscspace_degree 2 -bc_petscspace_degree 2 -show_initial -dm_plex_print_fem 1
1295: test:
1296: suffix: field_bc_3d_p2_neumann_1
1297: requires: ctetgen
1298: args: -run_type test -dm_plex_dim 3 -dm_refine 1 -bc_type neumann -dm_plex_boundary_label boundary -field_bc -petscspace_degree 2 -bc_petscspace_degree 2 -show_initial -dm_plex_print_fem 1
1300: # Full solve simplex: Convergence
1301: test:
1302: suffix: 3d_p1_conv
1303: requires: ctetgen
1304: args: -run_type full -dm_plex_dim 3 -dm_refine 1 -bc_type dirichlet -petscspace_degree 1 \
1305: -snes_convergence_estimate -convest_num_refine 1 -pc_type lu
1307: # Full solve simplex: PCBDDC
1308: test:
1309: suffix: tri_bddc
1310: requires: triangle !single
1311: nsize: 5
1312: args: -run_type full -petscpartitioner_type simple -dm_refine 2 -bc_type dirichlet -petscspace_degree 1 -ksp_type gmres -ksp_gmres_restart 100 -ksp_rtol 1.0e-9 -dm_mat_type is -pc_type bddc -snes_monitor_short -ksp_monitor_short -snes_converged_reason ::ascii_info_detail -ksp_converged_reason -snes_view -show_solution 0
1314: # Full solve simplex: PCBDDC
1315: test:
1316: suffix: tri_parmetis_bddc
1317: requires: triangle !single parmetis
1318: nsize: 4
1319: args: -run_type full -petscpartitioner_type parmetis -dm_refine 2 -bc_type dirichlet -petscspace_degree 1 -ksp_type gmres -ksp_gmres_restart 100 -ksp_rtol 1.0e-9 -dm_mat_type is -pc_type bddc -snes_monitor_short -ksp_monitor_short -snes_converged_reason ::ascii_info_detail -ksp_converged_reason -snes_view -show_solution 0
1321: testset:
1322: args: -run_type full -dm_plex_simplex 0 -dm_plex_box_faces 3,3 -petscpartitioner_type simple -dm_refine 2 -bc_type dirichlet -petscspace_degree 2 -dm_mat_type is -pc_type bddc -ksp_type gmres -snes_monitor_short -ksp_monitor_short -snes_view -petscspace_poly_tensor -pc_bddc_corner_selection -ksp_rtol 1.e-9 -pc_bddc_use_edges 0
1323: nsize: 5
1324: output_file: output/ex12_quad_bddc.out
1325: filter: sed -e "s/aijcusparse/aij/g" -e "s/aijviennacl/aij/g" -e "s/factorization: cusparse/factorization: petsc/g"
1326: test:
1327: requires: !single
1328: suffix: quad_bddc
1329: test:
1330: requires: !single cuda
1331: suffix: quad_bddc_cuda
1332: args: -mat_is_localmat_type aijcusparse -pc_bddc_dirichlet_pc_factor_mat_solver_type cusparse -pc_bddc_neumann_pc_factor_mat_solver_type cusparse
1333: test:
1334: requires: !single viennacl
1335: suffix: quad_bddc_viennacl
1336: args: -mat_is_localmat_type aijviennacl
1338: # Full solve simplex: ASM
1339: test:
1340: suffix: tri_q2q1_asm_lu
1341: requires: triangle !single
1342: args: -run_type full -dm_refine 3 -bc_type dirichlet -petscspace_degree 1 -ksp_type gmres -ksp_gmres_restart 100 -ksp_rtol 1.0e-9 -pc_type asm -pc_asm_type restrict -pc_asm_blocks 4 -sub_pc_type lu -snes_monitor_short -ksp_monitor_short -snes_converged_reason ::ascii_info_detail -ksp_converged_reason -snes_view -show_solution 0
1344: test:
1345: suffix: tri_q2q1_msm_lu
1346: requires: triangle !single
1347: args: -run_type full -dm_refine 3 -bc_type dirichlet -petscspace_degree 1 -ksp_type gmres -ksp_gmres_restart 100 -ksp_rtol 1.0e-9 -pc_type asm -pc_asm_type restrict -pc_asm_local_type multiplicative -pc_asm_blocks 4 -sub_pc_type lu -snes_monitor_short -ksp_monitor_short -snes_converged_reason ::ascii_info_detail -ksp_converged_reason -snes_view -show_solution 0
1349: test:
1350: suffix: tri_q2q1_asm_sor
1351: requires: triangle !single
1352: args: -run_type full -dm_refine 3 -bc_type dirichlet -petscspace_degree 1 -ksp_type gmres -ksp_gmres_restart 100 -ksp_rtol 1.0e-9 -pc_type asm -pc_asm_type restrict -pc_asm_blocks 4 -sub_pc_type sor -snes_monitor_short -ksp_monitor_short -snes_converged_reason ::ascii_info_detail -ksp_converged_reason -snes_view -show_solution 0
1354: test:
1355: suffix: tri_q2q1_msm_sor
1356: requires: triangle !single
1357: args: -run_type full -dm_refine 3 -bc_type dirichlet -petscspace_degree 1 -ksp_type gmres -ksp_gmres_restart 100 -ksp_rtol 1.0e-9 -pc_type asm -pc_asm_type restrict -pc_asm_local_type multiplicative -pc_asm_blocks 4 -sub_pc_type sor -snes_monitor_short -ksp_monitor_short -snes_converged_reason ::ascii_info_detail -ksp_converged_reason -snes_view -show_solution 0
1359: # Full solve simplex: FAS
1360: test:
1361: suffix: fas_newton_0
1362: requires: triangle !single
1363: args: -run_type full -variable_coefficient nonlinear -petscspace_degree 1 -snes_type fas -snes_fas_levels 2 -fas_coarse_pc_type svd -fas_coarse_ksp_rtol 1.0e-10 -fas_coarse_snes_monitor_short -snes_monitor_short -fas_coarse_snes_linesearch_type basic -snes_converged_reason ::ascii_info_detail -dm_refine_hierarchy 1 -snes_view -fas_levels_1_snes_type newtonls -fas_levels_1_pc_type svd -fas_levels_1_ksp_rtol 1.0e-10 -fas_levels_1_snes_monitor_short
1365: test:
1366: suffix: fas_newton_1
1367: requires: triangle !single
1368: args: -run_type full -dm_refine_hierarchy 3 -petscspace_degree 1 -snes_type fas -snes_fas_levels 3 -fas_coarse_pc_type lu -fas_coarse_snes_monitor_short -snes_monitor_short -fas_coarse_snes_linesearch_type basic -snes_converged_reason ::ascii_info_detail -snes_view -fas_levels_snes_type newtonls -fas_levels_snes_linesearch_type basic -fas_levels_ksp_rtol 1.0e-10 -fas_levels_snes_monitor_short
1369: filter: sed -e "s/total number of linear solver iterations=14/total number of linear solver iterations=15/g"
1371: test:
1372: suffix: fas_ngs_0
1373: requires: triangle !single
1374: args: -run_type full -variable_coefficient nonlinear -petscspace_degree 1 -snes_type fas -snes_fas_levels 2 -fas_coarse_pc_type svd -fas_coarse_ksp_rtol 1.0e-10 -fas_coarse_snes_monitor_short -snes_monitor_short -fas_coarse_snes_linesearch_type basic -snes_converged_reason ::ascii_info_detail -dm_refine_hierarchy 1 -snes_view -fas_levels_1_snes_type ngs -fas_levels_1_snes_monitor_short
1376: # These two tests are broken because DMPlexComputeInjectorFEM() only works for regularly refined meshes
1377: test:
1378: suffix: fas_newton_coarse_0
1379: requires: pragmatic triangle
1380: TODO: broken
1381: args: -run_type full -variable_coefficient nonlinear -petscspace_degree 1 \
1382: -dm_refine 2 -dm_coarsen_hierarchy 1 -dm_plex_hash_location -dm_adaptor pragmatic \
1383: -snes_type fas -snes_fas_levels 2 -snes_converged_reason ::ascii_info_detail -snes_monitor_short -snes_view \
1384: -fas_coarse_pc_type svd -fas_coarse_ksp_rtol 1.0e-10 -fas_coarse_snes_monitor_short -fas_coarse_snes_linesearch_type basic \
1385: -fas_levels_1_snes_type newtonls -fas_levels_1_pc_type svd -fas_levels_1_ksp_rtol 1.0e-10 -fas_levels_1_snes_monitor_short
1387: test:
1388: suffix: mg_newton_coarse_0
1389: requires: triangle pragmatic
1390: TODO: broken
1391: args: -run_type full -petscspace_degree 1 \
1392: -dm_refine 3 -dm_coarsen_hierarchy 3 -dm_plex_hash_location -dm_adaptor pragmatic \
1393: -snes_atol 1.0e-8 -snes_rtol 0.0 -snes_monitor_short -snes_converged_reason ::ascii_info_detail -snes_view \
1394: -ksp_type richardson -ksp_atol 1.0e-8 -ksp_rtol 0.0 -ksp_norm_type unpreconditioned -ksp_monitor_true_residual \
1395: -pc_type mg -pc_mg_levels 4 \
1396: -mg_levels_ksp_type gmres -mg_levels_pc_type ilu -mg_levels_ksp_max_it 10
1398: # Full solve tensor
1399: test:
1400: suffix: tensor_plex_2d
1401: args: -run_type test -dm_plex_simplex 0 -bc_type dirichlet -petscspace_degree 1 -dm_refine_hierarchy 2
1403: test:
1404: suffix: tensor_p4est_2d
1405: requires: p4est
1406: args: -run_type test -dm_plex_simplex 0 -bc_type dirichlet -petscspace_degree 1 -dm_forest_initial_refinement 2 -dm_forest_minimum_refinement 0 -dm_plex_convert_type p4est
1408: test:
1409: suffix: tensor_plex_3d
1410: args: -run_type test -dm_plex_simplex 0 -bc_type dirichlet -petscspace_degree 1 -dm_plex_dim 3 -dm_refine_hierarchy 1 -dm_plex_box_faces 2,2,2
1412: test:
1413: suffix: tensor_p4est_3d
1414: requires: p4est
1415: args: -run_type test -dm_plex_simplex 0 -bc_type dirichlet -petscspace_degree 1 -dm_forest_initial_refinement 1 -dm_forest_minimum_refinement 0 -dm_plex_dim 3 -dm_plex_convert_type p8est -dm_plex_box_faces 2,2,2
1417: test:
1418: suffix: p4est_test_q2_conformal_serial
1419: requires: p4est
1420: args: -run_type test -petscspace_degree 2 -dm_plex_simplex 0 -dm_plex_convert_type p4est -dm_forest_minimum_refinement 0 -dm_forest_initial_refinement 2
1422: test:
1423: suffix: p4est_test_q2_conformal_parallel
1424: requires: p4est
1425: nsize: 7
1426: args: -run_type test -petscspace_degree 2 -dm_plex_simplex 0 -dm_plex_convert_type p4est -dm_forest_minimum_refinement 0 -dm_forest_initial_refinement 2 -petscpartitioner_type simple
1428: test:
1429: suffix: p4est_test_q2_conformal_parallel_parmetis
1430: requires: parmetis p4est
1431: nsize: 4
1432: args: -run_type test -petscspace_degree 2 -dm_plex_simplex 0 -dm_plex_convert_type p4est -dm_forest_minimum_refinement 0 -dm_forest_initial_refinement 2 -petscpartitioner_type parmetis
1434: test:
1435: suffix: p4est_test_q2_nonconformal_serial
1436: requires: p4est
1437: filter: grep -v "CG or CGNE: variant"
1438: args: -run_type test -petscspace_degree 2 -dm_plex_simplex 0 -dm_plex_convert_type p4est -dm_forest_minimum_refinement 0 -dm_forest_initial_refinement 2 -dm_forest_maximum_refinement 4 -dm_p4est_refine_pattern hash
1440: test:
1441: suffix: p4est_test_q2_nonconformal_parallel
1442: requires: p4est
1443: filter: grep -v "CG or CGNE: variant"
1444: nsize: 7
1445: args: -run_type test -petscspace_degree 2 -dm_plex_simplex 0 -dm_plex_convert_type p4est -dm_forest_minimum_refinement 0 -dm_forest_initial_refinement 2 -dm_forest_maximum_refinement 4 -dm_p4est_refine_pattern hash -petscpartitioner_type simple
1447: test:
1448: suffix: p4est_test_q2_nonconformal_parallel_parmetis
1449: requires: parmetis p4est
1450: nsize: 4
1451: args: -run_type test -petscspace_degree 2 -dm_plex_simplex 0 -dm_plex_convert_type p4est -dm_forest_minimum_refinement 0 -dm_forest_initial_refinement 2 -dm_forest_maximum_refinement 4 -dm_p4est_refine_pattern hash -petscpartitioner_type parmetis
1453: test:
1454: suffix: p4est_exact_q2_conformal_serial
1455: requires: p4est !single !complex !__float128
1456: args: -run_type exact -petscspace_degree 2 -fas_levels_snes_atol 1.e-10 -snes_max_it 1 -snes_type fas -snes_fas_levels 3 -fas_coarse_pc_type none -fas_coarse_ksp_type preonly -fas_coarse_snes_monitor_short -snes_monitor_short -fas_coarse_snes_linesearch_type basic -snes_converged_reason ::ascii_info_detail -snes_view -fas_levels_snes_type newtonls -fas_levels_pc_type none -fas_levels_ksp_type preonly -fas_levels_snes_monitor_short -dm_plex_simplex 0 -dm_plex_convert_type p4est -dm_forest_minimum_refinement 0 -dm_forest_initial_refinement 2
1458: test:
1459: suffix: p4est_exact_q2_conformal_parallel
1460: requires: p4est !single !complex !__float128
1461: nsize: 4
1462: args: -run_type exact -petscspace_degree 2 -fas_levels_snes_atol 1.e-10 -snes_max_it 1 -snes_type fas -snes_fas_levels 3 -fas_coarse_pc_type none -fas_coarse_ksp_type preonly -fas_coarse_snes_monitor_short -snes_monitor_short -fas_coarse_snes_linesearch_type basic -snes_converged_reason ::ascii_info_detail -snes_view -fas_levels_snes_type newtonls -fas_levels_pc_type none -fas_levels_ksp_type preonly -fas_levels_snes_monitor_short -dm_plex_simplex 0 -dm_plex_convert_type p4est -dm_forest_minimum_refinement 0 -dm_forest_initial_refinement 2
1464: test:
1465: suffix: p4est_exact_q2_conformal_parallel_parmetis
1466: requires: parmetis p4est !single
1467: nsize: 4
1468: args: -run_type exact -petscspace_degree 2 -fas_levels_snes_linesearch_type basic -fas_levels_snes_atol 1.e-10 -snes_max_it 1 -snes_type fas -snes_fas_levels 3 -fas_coarse_snes_converged_reason -fas_coarse_pc_type none -fas_coarse_ksp_type preonly -fas_coarse_snes_monitor_short -snes_monitor_short -fas_coarse_snes_linesearch_type basic -snes_converged_reason ::ascii_info_detail -snes_view -fas_levels_snes_type newtonls -fas_levels_pc_type none -fas_levels_ksp_type preonly -fas_levels_snes_monitor_short -dm_plex_simplex 0 -dm_plex_convert_type p4est -dm_forest_minimum_refinement 0 -dm_forest_initial_refinement 2 -petscpartitioner_type parmetis
1470: test:
1471: suffix: p4est_exact_q2_nonconformal_serial
1472: requires: p4est
1473: args: -run_type exact -petscspace_degree 2 -fas_levels_snes_atol 1.e-10 -snes_max_it 1 -snes_type fas -snes_fas_levels 3 -fas_coarse_pc_type none -fas_coarse_ksp_type preonly -fas_coarse_snes_monitor_short -snes_monitor_short -fas_coarse_snes_linesearch_type basic -snes_converged_reason ::ascii_info_detail -snes_view -fas_levels_snes_type newtonls -fas_levels_pc_type none -fas_levels_ksp_type preonly -fas_levels_snes_monitor_short -dm_plex_simplex 0 -dm_plex_convert_type p4est -dm_forest_minimum_refinement 0 -dm_forest_initial_refinement 2 -dm_forest_maximum_refinement 4 -dm_p4est_refine_pattern hash
1475: test:
1476: suffix: p4est_exact_q2_nonconformal_parallel
1477: requires: p4est
1478: nsize: 7
1479: args: -run_type exact -petscspace_degree 2 -fas_levels_snes_atol 1.e-10 -snes_max_it 1 -snes_type fas -snes_fas_levels 3 -fas_coarse_pc_type none -fas_coarse_ksp_type preonly -fas_coarse_snes_monitor_short -snes_monitor_short -fas_coarse_snes_linesearch_type basic -snes_converged_reason ::ascii_info_detail -snes_view -fas_levels_snes_type newtonls -fas_levels_pc_type none -fas_levels_ksp_type preonly -fas_levels_snes_monitor_short -dm_plex_simplex 0 -dm_plex_convert_type p4est -dm_forest_minimum_refinement 0 -dm_forest_initial_refinement 2 -dm_forest_maximum_refinement 4 -dm_p4est_refine_pattern hash -petscpartitioner_type simple
1481: test:
1482: suffix: p4est_exact_q2_nonconformal_parallel_parmetis
1483: requires: parmetis p4est
1484: nsize: 4
1485: args: -run_type exact -petscspace_degree 2 -fas_levels_snes_atol 1.e-10 -snes_max_it 1 -snes_type fas -snes_fas_levels 3 -fas_coarse_pc_type none -fas_coarse_ksp_type preonly -fas_coarse_snes_monitor_short -snes_monitor_short -fas_coarse_snes_linesearch_type basic -snes_converged_reason ::ascii_info_detail -snes_view -fas_levels_snes_type newtonls -fas_levels_pc_type none -fas_levels_ksp_type preonly -fas_levels_snes_monitor_short -dm_plex_simplex 0 -dm_plex_convert_type p4est -dm_forest_minimum_refinement 0 -dm_forest_initial_refinement 2 -dm_forest_maximum_refinement 4 -dm_p4est_refine_pattern hash -petscpartitioner_type parmetis
1487: test:
1488: suffix: p4est_full_q2_nonconformal_serial
1489: requires: p4est !single
1490: filter: grep -v "variant HERMITIAN"
1491: args: -run_type full -petscspace_degree 2 -snes_max_it 20 -snes_type fas -snes_fas_levels 3 -fas_coarse_pc_type jacobi -fas_coarse_ksp_type cg -fas_coarse_snes_monitor_short -snes_monitor_short -fas_coarse_snes_linesearch_type basic -snes_converged_reason ::ascii_info_detail -snes_view -fas_levels_snes_type newtonls -fas_levels_pc_type jacobi -fas_levels_ksp_type cg -fas_levels_snes_monitor_short -dm_plex_simplex 0 -dm_plex_convert_type p4est -dm_forest_minimum_refinement 0 -dm_forest_initial_refinement 2 -dm_forest_maximum_refinement 4 -dm_p4est_refine_pattern hash
1493: test:
1494: suffix: p4est_full_q2_nonconformal_parallel
1495: requires: p4est !single
1496: filter: grep -v "variant HERMITIAN"
1497: nsize: 7
1498: args: -run_type full -petscspace_degree 2 -snes_max_it 20 -snes_type fas -snes_fas_levels 3 -fas_coarse_pc_type jacobi -fas_coarse_ksp_type cg -fas_coarse_snes_monitor_short -snes_monitor_short -fas_coarse_snes_linesearch_type basic -snes_converged_reason ::ascii_info_detail -snes_view -fas_levels_snes_type newtonls -fas_levels_pc_type jacobi -fas_levels_ksp_type cg -fas_levels_snes_monitor_short -dm_plex_simplex 0 -dm_plex_convert_type p4est -dm_forest_minimum_refinement 0 -dm_forest_initial_refinement 2 -dm_forest_maximum_refinement 4 -dm_p4est_refine_pattern hash -petscpartitioner_type simple
1500: test:
1501: suffix: p4est_full_q2_nonconformal_parallel_bddcfas
1502: requires: p4est !single
1503: filter: grep -v "variant HERMITIAN"
1504: nsize: 7
1505: args: -run_type full -petscspace_degree 2 -snes_max_it 20 -snes_type fas -snes_fas_levels 3 -dm_mat_type is -fas_coarse_pc_type bddc -fas_coarse_ksp_type cg -fas_coarse_snes_monitor_short -snes_monitor_short -fas_coarse_snes_linesearch_type basic -snes_converged_reason ::ascii_info_detail -snes_view -fas_levels_snes_type newtonls -fas_levels_pc_type bddc -fas_levels_ksp_type cg -fas_levels_snes_monitor_short -dm_plex_simplex 0 -dm_plex_convert_type p4est -dm_forest_minimum_refinement 0 -dm_forest_initial_refinement 2 -dm_forest_maximum_refinement 4 -dm_p4est_refine_pattern hash -petscpartitioner_type simple
1507: test:
1508: suffix: p4est_full_q2_nonconformal_parallel_bddc
1509: requires: p4est !single
1510: filter: grep -v "variant HERMITIAN"
1511: nsize: 7
1512: args: -run_type full -petscspace_degree 2 -snes_max_it 20 -snes_type newtonls -dm_mat_type is -pc_type bddc -ksp_type cg -snes_monitor_short -snes_linesearch_type basic -snes_converged_reason ::ascii_info_detail -snes_view -dm_plex_simplex 0 -dm_plex_convert_type p4est -dm_forest_minimum_refinement 0 -dm_forest_initial_refinement 2 -dm_forest_maximum_refinement 4 -dm_p4est_refine_pattern hash -petscpartitioner_type simple
1514: test:
1515: TODO: broken
1516: suffix: p4est_fas_q2_conformal_serial
1517: requires: p4est !complex !__float128
1518: args: -run_type full -variable_coefficient nonlinear -petscspace_degree 2 -snes_max_it 20 -snes_type fas -snes_fas_levels 3 -pc_type jacobi -ksp_type gmres -fas_coarse_pc_type svd -fas_coarse_ksp_type gmres -fas_coarse_snes_monitor_short -snes_monitor_short -fas_coarse_snes_linesearch_type basic -snes_converged_reason ::ascii_info_detail -snes_view -fas_levels_snes_type newtonls -fas_levels_pc_type svd -fas_levels_ksp_type gmres -fas_levels_snes_monitor_short -dm_plex_simplex 0 -dm_refine_hierarchy 3
1520: test:
1521: TODO: broken
1522: suffix: p4est_fas_q2_nonconformal_serial
1523: requires: p4est
1524: args: -run_type full -variable_coefficient nonlinear -petscspace_degree 2 -snes_max_it 20 -snes_type fas -snes_fas_levels 3 -pc_type jacobi -ksp_type gmres -fas_coarse_pc_type jacobi -fas_coarse_ksp_type gmres -fas_coarse_ksp_monitor_true_residual -fas_coarse_snes_monitor_short -snes_monitor_short -fas_coarse_snes_linesearch_type basic -snes_converged_reason ::ascii_info_detail -snes_view -fas_levels_snes_type newtonls -fas_levels_pc_type jacobi -fas_levels_ksp_type gmres -fas_levels_snes_monitor_short -dm_plex_simplex 0 -dm_plex_convert_type p4est -dm_forest_minimum_refinement 0 -dm_forest_initial_refinement 2 -dm_forest_maximum_refinement 4 -dm_p4est_refine_pattern hash
1526: test:
1527: suffix: fas_newton_0_p4est
1528: requires: p4est !single !__float128
1529: args: -run_type full -variable_coefficient nonlinear -petscspace_degree 1 -snes_type fas -snes_fas_levels 2 -fas_coarse_pc_type svd -fas_coarse_ksp_rtol 1.0e-10 -fas_coarse_snes_monitor_short -snes_monitor_short -fas_coarse_snes_linesearch_type basic -snes_converged_reason ::ascii_info_detail -snes_view -fas_levels_1_snes_type newtonls -fas_levels_1_pc_type svd -fas_levels_1_ksp_rtol 1.0e-10 -fas_levels_1_snes_monitor_short -dm_plex_simplex 0 -dm_plex_convert_type p4est -dm_forest_minimum_refinement 0 -dm_forest_initial_refinement 2 -dm_forest_maximum_refinement 4 -dm_p4est_refine_pattern hash
1531: # Full solve simplicial AMR
1532: test:
1533: suffix: tri_p1_adapt_init_pragmatic
1534: requires: pragmatic
1535: args: -run_type exact -dm_refine 5 -bc_type dirichlet -petscspace_degree 1 -variable_coefficient ball -snes_converged_reason ::ascii_info_detail -pc_type lu -snes_adapt_initial 1 -adaptor_target_num 4000 -dm_plex_metric_h_max 0.5 -dm_adaptor pragmatic
1537: test:
1538: suffix: tri_p2_adapt_init_pragmatic
1539: requires: pragmatic
1540: args: -run_type exact -dm_refine 5 -bc_type dirichlet -petscspace_degree 2 -variable_coefficient ball -snes_converged_reason ::ascii_info_detail -pc_type lu -snes_adapt_initial 1 -adaptor_target_num 4000 -dm_plex_metric_h_max 0.5 -dm_adaptor pragmatic
1542: test:
1543: suffix: tri_p1_adapt_init_mmg
1544: requires: mmg
1545: args: -run_type exact -dm_refine 5 -bc_type dirichlet -petscspace_degree 1 -variable_coefficient ball -snes_converged_reason ::ascii_info_detail -pc_type lu -snes_adapt_initial 1 -adaptor_target_num 4000 -dm_plex_metric_h_max 0.5 -dm_adaptor mmg
1547: test:
1548: suffix: tri_p2_adapt_init_mmg
1549: requires: mmg
1550: args: -run_type exact -dm_refine 5 -bc_type dirichlet -petscspace_degree 2 -variable_coefficient ball -snes_converged_reason ::ascii_info_detail -pc_type lu -snes_adapt_initial 1 -adaptor_target_num 4000 -dm_plex_metric_h_max 0.5 -dm_adaptor mmg
1552: test:
1553: suffix: tri_p1_adapt_seq_pragmatic
1554: requires: pragmatic
1555: args: -run_type exact -dm_refine 5 -bc_type dirichlet -petscspace_degree 1 -variable_coefficient ball -snes_converged_reason ::ascii_info_detail -pc_type lu -snes_adapt_sequence 2 -adaptor_target_num 4000 -dm_plex_metric_h_max 0.5 -dm_adaptor pragmatic
1557: test:
1558: suffix: tri_p2_adapt_seq_pragmatic
1559: requires: pragmatic
1560: args: -run_type exact -dm_refine 5 -bc_type dirichlet -petscspace_degree 2 -variable_coefficient ball -snes_converged_reason ::ascii_info_detail -pc_type lu -snes_adapt_sequence 2 -adaptor_target_num 4000 -dm_plex_metric_h_max 0.5 -dm_adaptor pragmatic
1562: test:
1563: suffix: tri_p1_adapt_seq_mmg
1564: requires: mmg
1565: args: -run_type exact -dm_refine 5 -bc_type dirichlet -petscspace_degree 1 -variable_coefficient ball -snes_converged_reason ::ascii_info_detail -pc_type lu -snes_adapt_sequence 2 -adaptor_target_num 4000 -dm_plex_metric_h_max 0.5 -dm_adaptor mmg
1567: test:
1568: suffix: tri_p2_adapt_seq_mmg
1569: requires: mmg
1570: args: -run_type exact -dm_refine 5 -bc_type dirichlet -petscspace_degree 2 -variable_coefficient ball -snes_converged_reason ::ascii_info_detail -pc_type lu -snes_adapt_sequence 2 -adaptor_target_num 4000 -dm_plex_metric_h_max 0.5 -dm_adaptor mmg
1572: test:
1573: suffix: tri_p1_adapt_analytic_pragmatic
1574: requires: pragmatic
1575: args: -run_type exact -dm_refine 3 -bc_type dirichlet -petscspace_degree 1 -variable_coefficient cross -snes_adapt_initial 4 -adaptor_target_num 500 -dm_plex_metric_h_min 0.0001 -dm_plex_metric_h_max 0.05 -dm_adaptor pragmatic
1577: test:
1578: suffix: tri_p2_adapt_analytic_pragmatic
1579: requires: pragmatic
1580: args: -run_type exact -dm_refine 3 -bc_type dirichlet -petscspace_degree 2 -variable_coefficient cross -snes_adapt_initial 4 -adaptor_target_num 500 -dm_plex_metric_h_min 0.0001 -dm_plex_metric_h_max 0.05 -dm_adaptor pragmatic
1582: test:
1583: suffix: tri_p1_adapt_analytic_mmg
1584: requires: mmg
1585: args: -run_type exact -dm_refine 3 -bc_type dirichlet -petscspace_degree 1 -variable_coefficient cross -snes_adapt_initial 4 -adaptor_target_num 500 -dm_plex_metric_h_max 0.5 -dm_adaptor mmg
1587: test:
1588: suffix: tri_p2_adapt_analytic_mmg
1589: requires: mmg
1590: args: -run_type exact -dm_refine 3 -bc_type dirichlet -petscspace_degree 2 -variable_coefficient cross -snes_adapt_initial 4 -adaptor_target_num 500 -dm_plex_metric_h_max 0.5 -dm_adaptor mmg
1592: test:
1593: suffix: tri_p1_adapt_uniform_pragmatic
1594: requires: pragmatic tetgen
1595: nsize: 2
1596: args: -run_type full -dm_plex_box_faces 8,8,8 -bc_type dirichlet -petscspace_degree 1 -variable_coefficient none -snes_converged_reason ::ascii_info_detail -ksp_type cg -pc_type sor -snes_adapt_sequence 3 -adaptor_target_num 400 -dm_plex_metric_h_max 0.5 -dm_plex_dim 3 -dm_adaptor pragmatic
1597: timeoutfactor: 2
1599: test:
1600: suffix: tri_p2_adapt_uniform_pragmatic
1601: requires: pragmatic tetgen
1602: nsize: 2
1603: args: -run_type full -dm_plex_box_faces 8,8,8 -bc_type dirichlet -petscspace_degree 2 -variable_coefficient none -snes_converged_reason ::ascii_info_detail -ksp_type cg -pc_type sor -snes_adapt_sequence 1 -adaptor_target_num 400 -dm_plex_metric_h_max 0.5 -dm_plex_dim 3 -dm_adaptor pragmatic
1604: timeoutfactor: 1
1606: test:
1607: suffix: tri_p1_adapt_uniform_mmg
1608: requires: mmg tetgen
1609: args: -run_type full -dm_plex_box_faces 4,4,4 -bc_type dirichlet -petscspace_degree 1 -variable_coefficient none -snes_converged_reason ::ascii_info_detail -ksp_type cg -pc_type sor -snes_adapt_sequence 3 -adaptor_target_num 400 -dm_plex_metric_h_max 0.5 -dm_plex_dim 3 -dm_adaptor mmg
1610: timeoutfactor: 2
1612: test:
1613: suffix: tri_p2_adapt_uniform_mmg
1614: requires: mmg tetgen broken
1615: args: -run_type full -dm_plex_box_faces 4,4,4 -bc_type dirichlet -petscspace_degree 2 -variable_coefficient none -snes_converged_reason ::ascii_info_detail -ksp_type cg -pc_type sor -snes_adapt_sequence 1 -adaptor_target_num 400 -dm_plex_metric_h_max 0.5 -dm_plex_dim 3 -dm_adaptor mmg
1616: timeoutfactor: 1
1618: test:
1619: suffix: tri_p1_adapt_uniform_parmmg
1620: requires: parmmg tetgen
1621: nsize: 2
1622: args: -run_type full -dm_plex_box_faces 8,8,8 -bc_type dirichlet -petscspace_degree 1 -variable_coefficient none -snes_converged_reason ::ascii_info_detail -ksp_type cg -pc_type sor -snes_adapt_sequence 3 -adaptor_target_num 400 -dm_plex_metric_h_max 0.5 -dm_plex_dim 3 -dm_adaptor parmmg
1623: timeoutfactor: 2
1625: test:
1626: suffix: tri_p2_adapt_uniform_parmmg
1627: requires: parmmg tetgen
1628: nsize: 2
1629: args: -run_type full -dm_plex_box_faces 8,8,8 -bc_type dirichlet -petscspace_degree 2 -variable_coefficient none -snes_converged_reason ::ascii_info_detail -ksp_type cg -pc_type sor -snes_adapt_sequence 1 -adaptor_target_num 400 -dm_plex_metric_h_max 0.5 -dm_plex_dim 3 -dm_adaptor parmmg
1630: timeoutfactor: 1
1632: # Full solve tensor AMR
1633: test:
1634: suffix: quad_q1_adapt_0
1635: requires: p4est
1636: args: -run_type exact -dm_plex_simplex 0 -dm_plex_convert_type p4est -bc_type dirichlet -petscspace_degree 1 -variable_coefficient ball -snes_converged_reason ::ascii_info_detail -pc_type lu -dm_forest_initial_refinement 4 -snes_adapt_initial 1 -dm_view
1637: filter: grep -v DM_
1639: test:
1640: suffix: amr_0
1641: nsize: 5
1642: args: -run_type test -petscpartitioner_type simple -dm_plex_simplex 0 -bc_type dirichlet -petscspace_degree 1 -dm_refine 1
1644: test:
1645: suffix: amr_1
1646: requires: p4est !complex
1647: args: -run_type test -dm_plex_simplex 0 -bc_type dirichlet -petscspace_degree 1 -dm_plex_convert_type p4est -dm_p4est_refine_pattern center -dm_forest_maximum_refinement 5 -dm_view vtk:amr.vtu:vtk_vtu -vec_view vtk:amr.vtu:vtk_vtu:append
1649: test:
1650: suffix: p4est_solve_bddc
1651: requires: p4est !complex
1652: args: -run_type full -variable_coefficient nonlinear -nonzero_initial_guess 1 -petscspace_degree 2 -snes_max_it 20 -snes_type newtonls -dm_mat_type is -pc_type bddc -ksp_type cg -snes_monitor_short -ksp_monitor -snes_linesearch_type bt -snes_converged_reason -snes_view -dm_plex_simplex 0 -petscspace_poly_tensor -dm_plex_convert_type p4est -dm_forest_minimum_refinement 0 -dm_forest_initial_refinement 2 -dm_forest_maximum_refinement 4 -dm_p4est_refine_pattern hash -petscpartitioner_type simple -pc_bddc_detect_disconnected
1653: nsize: 4
1655: test:
1656: suffix: p4est_solve_fas
1657: requires: p4est
1658: args: -run_type full -variable_coefficient nonlinear -nonzero_initial_guess 1 -petscspace_degree 2 -snes_max_it 10 -snes_type fas -snes_linesearch_type bt -snes_fas_levels 3 -fas_coarse_snes_type newtonls -fas_coarse_snes_linesearch_type basic -fas_coarse_ksp_type cg -fas_coarse_pc_type jacobi -fas_coarse_snes_monitor_short -fas_levels_snes_max_it 4 -fas_levels_snes_type newtonls -fas_levels_snes_linesearch_type bt -fas_levels_ksp_type cg -fas_levels_pc_type jacobi -fas_levels_snes_monitor_short -fas_levels_cycle_snes_linesearch_type bt -snes_monitor_short -snes_converged_reason -snes_view -dm_plex_simplex 0 -petscspace_poly_tensor -dm_plex_convert_type p4est -dm_forest_minimum_refinement 0 -dm_forest_initial_refinement 2 -dm_forest_maximum_refinement 4 -dm_p4est_refine_pattern hash
1659: nsize: 4
1660: TODO: identical machine two runs produce slightly different solver trackers
1662: test:
1663: suffix: p4est_convergence_test_1
1664: requires: p4est
1665: args: -quiet -run_type test -petscspace_degree 1 -dm_plex_simplex 0 -petscspace_poly_tensor -dm_plex_convert_type p4est -dm_forest_minimum_refinement 2 -dm_forest_initial_refinement 2 -dm_forest_maximum_refinement 4 -dm_p4est_refine_pattern hash
1666: nsize: 4
1668: # Serial tests with GLVis visualization
1669: test:
1670: suffix: glvis_2d_tet_p1
1671: args: -quiet -run_type test -bc_type dirichlet -petscspace_degree 1 -vec_view glvis: -dm_plex_filename ${wPETSC_DIR}/share/petsc/datafiles/meshes/square_periodic.msh -dm_plex_boundary_label marker -dm_plex_gmsh_periodic 0 -dm_coord_space 0
1672: test:
1673: suffix: glvis_2d_tet_p2
1674: args: -quiet -run_type test -bc_type dirichlet -petscspace_degree 2 -vec_view glvis: -dm_plex_filename ${wPETSC_DIR}/share/petsc/datafiles/meshes/square_periodic.msh -dm_plex_boundary_label marker -dm_plex_gmsh_periodic 0 -dm_coord_space 0
1675: test:
1676: suffix: glvis_2d_hex_p1
1677: args: -quiet -run_type test -bc_type dirichlet -petscspace_degree 1 -vec_view glvis: -dm_plex_simplex 0 -dm_refine 1 -dm_coord_space 0
1678: test:
1679: suffix: glvis_2d_hex_p2
1680: args: -quiet -run_type test -bc_type dirichlet -petscspace_degree 2 -vec_view glvis: -dm_plex_simplex 0 -dm_refine 1 -dm_coord_space 0
1681: test:
1682: suffix: glvis_2d_hex_p2_p4est
1683: requires: p4est
1684: args: -quiet -run_type test -bc_type dirichlet -petscspace_degree 2 -vec_view glvis: -dm_plex_simplex 0 -dm_plex_convert_type p4est -dm_forest_minimum_refinement 0 -dm_forest_initial_refinement 1 -dm_forest_maximum_refinement 4 -dm_p4est_refine_pattern hash -viewer_glvis_dm_plex_enable_ncmesh
1685: test:
1686: suffix: glvis_2d_tet_p0
1687: args: -run_type exact -guess_vec_view glvis: -nonzero_initial_guess 1 -dm_plex_filename ${wPETSC_DIR}/share/petsc/datafiles/meshes/square_periodic.msh -dm_plex_boundary_label marker -petscspace_degree 0 -dm_coord_space 0 -pc_type jacobi
1688: test:
1689: suffix: glvis_2d_hex_p0
1690: args: -run_type exact -guess_vec_view glvis: -nonzero_initial_guess 1 -dm_plex_box_faces 5,7 -dm_plex_simplex 0 -petscspace_degree 0 -dm_coord_space 0 -pc_type jacobi
1692: # PCHPDDM tests
1693: testset:
1694: nsize: 4
1695: requires: hpddm slepc !single defined(PETSC_HAVE_DYNAMIC_LIBRARIES) defined(PETSC_USE_SHARED_LIBRARIES)
1696: args: -run_type test -run_test_check_ksp -quiet -petscspace_degree 1 -petscpartitioner_type simple -bc_type none -dm_plex_simplex 0 -pc_type hpddm -pc_hpddm_levels_1_sub_pc_type lu -pc_hpddm_levels_1_eps_nev 2 -pc_hpddm_coarse_p 1 -pc_hpddm_coarse_pc_type svd -ksp_rtol 1.e-10 -pc_hpddm_levels_1_st_pc_factor_shift_type INBLOCKS -ksp_converged_reason
1697: test:
1698: suffix: quad_singular_hpddm
1699: args: -dm_plex_box_faces 6,7
1700: test:
1701: requires: p4est
1702: suffix: p4est_singular_2d_hpddm
1703: args: -dm_plex_convert_type p4est -dm_forest_minimum_refinement 1 -dm_forest_initial_refinement 3 -dm_forest_maximum_refinement 3
1704: test:
1705: requires: p4est
1706: suffix: p4est_nc_singular_2d_hpddm
1707: args: -dm_plex_convert_type p4est -dm_forest_minimum_refinement 1 -dm_forest_initial_refinement 1 -dm_forest_maximum_refinement 3 -dm_p4est_refine_pattern hash
1708: testset:
1709: nsize: 4
1710: requires: hpddm slepc triangle !single defined(PETSC_HAVE_DYNAMIC_LIBRARIES) defined(PETSC_USE_SHARED_LIBRARIES)
1711: args: -run_type full -petscpartitioner_type simple -dm_refine 2 -bc_type dirichlet -petscspace_degree 2 -ksp_type gmres -ksp_gmres_restart 100 -pc_type hpddm -snes_monitor_short -ksp_monitor_short -snes_converged_reason ::ascii_info_detail -ksp_converged_reason -snes_view -show_solution 0 -pc_type hpddm -pc_hpddm_levels_1_sub_pc_type lu -pc_hpddm_levels_1_eps_nev 4 -pc_hpddm_coarse_p 2 -pc_hpddm_coarse_pc_type redundant -ksp_rtol 1.e-1
1712: test:
1713: args: -pc_hpddm_coarse_mat_type baij -options_left no
1714: suffix: tri_hpddm_reuse_baij
1715: test:
1716: requires: !complex
1717: suffix: tri_hpddm_reuse
1718: testset:
1719: nsize: 4
1720: requires: hpddm slepc !single defined(PETSC_HAVE_DYNAMIC_LIBRARIES) defined(PETSC_USE_SHARED_LIBRARIES)
1721: args: -run_type full -petscpartitioner_type simple -dm_plex_box_faces 7,5 -dm_refine 2 -dm_plex_simplex 0 -bc_type dirichlet -petscspace_degree 2 -ksp_type gmres -ksp_gmres_restart 100 -pc_type hpddm -snes_monitor_short -ksp_monitor_short -snes_converged_reason ::ascii_info_detail -ksp_converged_reason -snes_view -show_solution 0 -pc_type hpddm -pc_hpddm_levels_1_sub_pc_type lu -pc_hpddm_levels_1_eps_nev 4 -pc_hpddm_coarse_p 2 -pc_hpddm_coarse_pc_type redundant -ksp_rtol 1.e-1
1722: test:
1723: args: -pc_hpddm_coarse_mat_type baij -options_left no
1724: suffix: quad_hpddm_reuse_baij
1725: test:
1726: requires: !complex
1727: suffix: quad_hpddm_reuse
1728: testset:
1729: nsize: 4
1730: requires: hpddm slepc !single defined(PETSC_HAVE_DYNAMIC_LIBRARIES) defined(PETSC_USE_SHARED_LIBRARIES)
1731: args: -run_type full -petscpartitioner_type simple -dm_plex_box_faces 7,5 -dm_refine 2 -dm_plex_simplex 0 -bc_type dirichlet -petscspace_degree 1 -ksp_type gmres -ksp_gmres_restart 100 -pc_type hpddm -snes_monitor_short -ksp_monitor_short -snes_converged_reason ::ascii_info_detail -ksp_converged_reason -snes_view -show_solution 0 -pc_type hpddm -pc_hpddm_levels_1_sub_pc_type lu -pc_hpddm_levels_1_eps_threshold 0.1 -pc_hpddm_coarse_p 2 -pc_hpddm_coarse_pc_type redundant -ksp_rtol 1.e-1
1732: test:
1733: args: -pc_hpddm_coarse_mat_type baij -options_left no
1734: suffix: quad_hpddm_reuse_threshold_baij
1735: test:
1736: requires: !complex
1737: suffix: quad_hpddm_reuse_threshold
1738: testset:
1739: nsize: 4
1740: requires: hpddm slepc parmetis !single defined(PETSC_HAVE_DYNAMIC_LIBRARIES) defined(PETSC_USE_SHARED_LIBRARIES)
1741: filter: sed -e "s/linear solver iterations=17/linear solver iterations=16/g"
1742: args: -run_type full -petscpartitioner_type parmetis -dm_refine 3 -bc_type dirichlet -petscspace_degree 1 -ksp_type gmres -ksp_gmres_restart 100 -pc_type hpddm -snes_monitor_short -snes_converged_reason ::ascii_info_detail -snes_view -show_solution 0 -pc_type hpddm -pc_hpddm_levels_1_sub_pc_type icc -pc_hpddm_levels_1_eps_nev 20 -pc_hpddm_coarse_p 2 -pc_hpddm_coarse_pc_type redundant -ksp_rtol 1.e-10 -dm_plex_filename ${PETSC_DIR}/share/petsc/datafiles/meshes/square_periodic.msh -dm_plex_boundary_label marker -pc_hpddm_levels_1_sub_pc_factor_levels 3 -variable_coefficient ball -dm_plex_gmsh_periodic 0 -fp_trap 0
1743: test:
1744: args: -pc_hpddm_coarse_mat_type baij -options_left no
1745: filter: grep -v " total: nonzeros=" | grep -v " rows=" | sed -e "s/total number of linear solver iterations=[1-2][4-7]/total number of linear solver iterations=16/g"
1746: suffix: tri_parmetis_hpddm_baij
1747: test:
1748: filter: grep -v " total: nonzeros=" | grep -v " rows=" | sed -e "s/total number of linear solver iterations=[1-2][4-7]/total number of linear solver iterations=16/g"
1749: requires: !complex
1750: suffix: tri_parmetis_hpddm
1752: # 2D serial P1 tests for adaptive MG
1753: test:
1754: suffix: 2d_p1_adaptmg_0
1755: requires: triangle
1756: args: -petscpartitioner_type simple -dm_refine_hierarchy 3 -dm_plex_box_faces 4,4 -bc_type dirichlet -petscspace_degree 1 \
1757: -variable_coefficient checkerboard_0 -mat_petscspace_degree 0 -div 16 -k 3 \
1758: -snes_max_it 1 -ksp_converged_reason \
1759: -ksp_rtol 1e-8 -pc_type mg
1760: test:
1761: suffix: 2d_p1_adaptmg_1
1762: requires: triangle bamg todo
1763: args: -petscpartitioner_type simple -dm_refine_hierarchy 3 -dm_plex_box_faces 4,4 -bc_type dirichlet -petscspace_degree 1 \
1764: -variable_coefficient checkerboard_0 -mat_petscspace_degree 0 -div 16 -k 3 \
1765: -snes_max_it 1 -ksp_converged_reason \
1766: -ksp_rtol 1e-8 -pc_type mg -pc_mg_galerkin -pc_mg_adapt_interp_coarse_space eigenvector -pc_mg_adapt_interp_n 1 \
1767: -pc_mg_mesp_ksp_type richardson -pc_mg_mesp_ksp_richardson_self_scale -pc_mg_mesp_ksp_max_it 100 -pc_mg_mesp_pc_type none
1768: test:
1769: suffix: 2d_p1_adaptmg_gdsw
1770: requires: triangle
1771: nsize: 4
1772: args: -petscpartitioner_type simple -dm_refine 3 -dm_plex_box_faces 4,4 -bc_type dirichlet -petscspace_degree 1 \
1773: -variable_coefficient checkerboard_0 -mat_petscspace_degree 0 -div 16 -k 3 \
1774: -snes_max_it 1 -ksp_converged_reason \
1775: -ksp_rtol 1e-8 -pc_type mg -pc_mg_galerkin -pc_mg_adapt_interp_coarse_space gdsw -pc_mg_levels 2 -mg_levels_pc_type asm -dm_mat_type {{aij is}}
1777: test:
1778: suffix: 2d_p1_adaptmg_agdsw
1779: requires: triangle mumps
1780: nsize: 4
1781: args: -petscpartitioner_type simple -dm_refine 3 -dm_plex_box_faces 4,4 -bc_type dirichlet -petscspace_degree 1 \
1782: -variable_coefficient checkerboard_0 -mat_petscspace_degree 0 -div 16 -k 3 \
1783: -snes_max_it 1 -ksp_converged_reason \
1784: -ksp_rtol 1e-8 -pc_type mg -pc_mg_galerkin -pc_mg_adapt_interp_coarse_space gdsw -pc_mg_levels 2 -mg_levels_pc_type asm -dm_mat_type is -mg_levels_gdsw_tolerance 0.1 -mg_levels_gdsw_pseudo_pc_type qr
1786: test:
1787: suffix: p4est_2d_asm
1788: requires: p4est
1789: nsize: 4
1790: args: -run_type test -run_test_check_ksp -quiet -petscspace_degree 1 -petscpartitioner_type simple -bc_type none -dm_plex_simplex 0 \
1791: -pc_type asm -ksp_converged_reason -dm_plex_convert_type p4est -dm_forest_minimum_refinement 1 -dm_forest_initial_refinement 3 -dm_forest_maximum_refinement 5 \
1792: -pc_asm_dm_subdomains -dm_p4est_refine_pattern hash -dm_plex_dd_overlap 1 -sub_pc_type lu
1794: TEST*/