1: #pragma once

  3: #include <petscmat.h>

  5: /* SUBMANSEC = Mat */

  7: PETSC_EXTERN PetscFunctionList MatCoarsenList;

  9: /*S
 10:   MatCoarsen - Object for managing the coarsening of a graph (symmetric matrix)

 12:   Level: advanced

 14:   Note:
 15:   This is used by the `PCGAMG` to generate coarser representations of an algebraic problem

 17: .seealso: [](ch_matrices), [](sec_graph), `Mat`, `MatCoarsenCreate()`, `MatCoarsenType`, `MatColoringType`, `MatPartitioningType`, `MatOrderingType`
 18:           `MatColoring`, `MatPartitioning`
 19: S*/
 20: typedef struct _p_MatCoarsen *MatCoarsen;

 22: /*J
 23:     MatCoarsenType - String with the name of a PETSc matrix coarsening algorithm

 25:    Level: beginner

 27: .seealso: [](ch_matrices), [](sec_graph), `Mat`, `MatCoarsenCreate()`, `MatCoarsen`, `MatColoringType`, `MatPartitioningType`, `MatOrderingType`
 28: J*/
 29: typedef const char *MatCoarsenType;
 30: #define MATCOARSENMIS  "mis"
 31: #define MATCOARSENHEM  "hem"
 32: #define MATCOARSENMISK "misk"

 34: /* linked list for aggregates */
 35: typedef struct _PetscCDIntNd {
 36:   struct _PetscCDIntNd *next;
 37:   PetscInt              gid;
 38: } PetscCDIntNd;

 40: /* only used by node pool */
 41: typedef struct _PetscCDArrNd {
 42:   struct _PetscCDArrNd *next;
 43:   struct _PetscCDIntNd *array;
 44: } PetscCDArrNd;

 46: /* linked list data structure that encodes aggregates and C-F points with array[idx] == NULL for F point and array of indices in an aggregate or C point (first index is always global index my0 + idx */
 47: typedef struct _PetscCoarsenData {
 48:   PetscCDArrNd   pool_list; /* node pool */
 49:   PetscCDIntNd  *new_node;
 50:   PetscInt       new_left;
 51:   PetscInt       chk_sz; /* chunk size */
 52:   PetscCDIntNd  *extra_nodes;
 53:   PetscCDIntNd **array; /* Array of lists */
 54:   PetscInt       size;  /* size of 'array' */
 55:   Mat            mat;   /* cache a Mat for communication data */
 56: } PetscCoarsenData;

 58: PETSC_EXTERN PetscErrorCode MatCoarsenCreate(MPI_Comm, MatCoarsen *);
 59: PETSC_EXTERN PetscErrorCode MatCoarsenSetType(MatCoarsen, MatCoarsenType);
 60: PETSC_EXTERN PetscErrorCode MatCoarsenSetAdjacency(MatCoarsen, Mat);
 61: PETSC_EXTERN PetscErrorCode MatCoarsenSetGreedyOrdering(MatCoarsen, const IS);
 62: PETSC_EXTERN PetscErrorCode MatCoarsenSetStrictAggs(MatCoarsen, PetscBool);
 63: PETSC_EXTERN PetscErrorCode MatCoarsenGetData(MatCoarsen, PetscCoarsenData **);
 64: PETSC_EXTERN PetscErrorCode MatCoarsenApply(MatCoarsen);
 65: PETSC_EXTERN PetscErrorCode MatCoarsenDestroy(MatCoarsen *);
 66: PETSC_EXTERN PetscErrorCode MatCoarsenRegister(const char[], PetscErrorCode (*)(MatCoarsen));
 67: PETSC_EXTERN PetscErrorCode MatCoarsenView(MatCoarsen, PetscViewer);
 68: PETSC_EXTERN PetscErrorCode MatCoarsenSetFromOptions(MatCoarsen);
 69: PETSC_EXTERN PetscErrorCode MatCoarsenGetType(MatCoarsen, MatCoarsenType *);
 70: PETSC_EXTERN PetscErrorCode MatCoarsenViewFromOptions(MatCoarsen, PetscObject, const char[]);

 72: PETSC_EXTERN PetscErrorCode MatCoarsenMISKSetDistance(MatCoarsen, PetscInt);
 73: PETSC_EXTERN PetscErrorCode MatCoarsenMISKGetDistance(MatCoarsen, PetscInt *);
 74: PETSC_EXTERN PetscErrorCode MatCoarsenSetMaximumIterations(MatCoarsen, PetscInt);
 75: PETSC_EXTERN PetscErrorCode MatCoarsenSetThreshold(MatCoarsen, PetscReal);
 76: PETSC_EXTERN PetscErrorCode MatCoarsenSetStrengthIndex(MatCoarsen, PetscInt, PetscInt[]);