TSSetRHSHessianProduct#

Sets the function that computes the vector-Hessian-vector product. The Hessian is the second-order derivative of G (RHSFunction) w.r.t. the state variable.

Synopsis#

#include <petscts.h>  
PetscErrorCode TSSetRHSHessianProduct(TS ts, Vec *rhshp1, PetscErrorCode (*rhshessianproductfunc1)(TS ts, PetscReal t, Vec U, Vec *Vl, Vec Vr, Vec *VHV, void *ctx), Vec *rhshp2, PetscErrorCode (*rhshessianproductfunc2)(TS, PetscReal, Vec, Vec *, Vec, Vec *, void *), Vec *rhshp3, PetscErrorCode (*rhshessianproductfunc3)(TS, PetscReal, Vec, Vec *, Vec, Vec *, void *), Vec *rhshp4, PetscErrorCode (*rhshessianproductfunc4)(TS, PetscReal, Vec, Vec *, Vec, Vec *, void *), void *ctx)

Logically Collective

Input Parameters#

ts - TS context obtained from TSCreate()
rhshp1 - an array of vectors storing the result of vector-Hessian-vector product for G_UU
hessianproductfunc1 - vector-Hessian-vector product function for G_UU
rhshp2 - an array of vectors storing the result of vector-Hessian-vector product for G_UP
hessianproductfunc2 - vector-Hessian-vector product function for G_UP
rhshp3 - an array of vectors storing the result of vector-Hessian-vector product for G_PU
hessianproductfunc3 - vector-Hessian-vector product function for G_PU
rhshp4 - an array of vectors storing the result of vector-Hessian-vector product for G_PP
hessianproductfunc4 - vector-Hessian-vector product function for G_PP
ctx - [optional] user-defined function context

Calling sequence of `rhshessianproductfunc1`#

ts - the TS context
t - current timestep
U - input vector (current ODE solution)
Vl - an array of input vectors to be left-multiplied with the Hessian
Vr - input vector to be right-multiplied with the Hessian
VHV - an array of output vectors for vector-Hessian-vector product
ctx - [optional] user-defined function context

Notes#

All other functions have the same calling sequence as rhhessianproductfunc1, so their descriptions are omitted for brevity.

The first Hessian function and the working array are required.

As an example to implement the callback functions, the second callback function calculates the vector-Hessian-vector product $ Vl_n^T*G_UP*Vr where the vector Vl_n (n-th element in the array Vl) and Vr are of size N and M respectively, and the Hessian G_UP is of size N x N x M. Each entry of G_UP corresponds to the derivative $ G_UP[i][j][k] = \frac{\partial^2 G[i]}{\partial U[j] \partial P[k]}. The result of the vector-Hessian-vector product for Vl_n needs to be stored in vector VHV_n with j-th entry being $ VHV_n[j] = \sum_i \sum_k {Vl_n[i] * G_UP[i][j][k] * Vr[k]} If the cost function is a scalar, there will be only one vector in Vl and VHV.

Level#

intermediate

Location#

src/ts/interface/sensitivity/tssen.c

Examples#

src/ts/tutorials/ex20opt_p.c
src/ts/tutorials/ex20opt_ic.c

Index of all Sensitivity routines
Table of Contents for all manual pages
Index of all manual pages