TaoSetJacobianStateRoutine#
Sets the function to compute the Jacobian (and its inverse) of the constraint function with respect to the state variables. Used only for PDE-constrained optimization.
Synopsis#
#include "petsctao.h" 
PetscErrorCode TaoSetJacobianStateRoutine(Tao tao, Mat J, Mat Jpre, Mat Jinv, PetscErrorCode (*func)(Tao tao, Vec x, Mat J, Mat Jpre, Mat Jinv, void *ctx), void *ctx)
Logically Collective
Input Parameters#
- tao - the - Taocontext
- J - Matrix used for the Jacobian 
- Jpre - Matrix that will be used to construct the preconditioner, can be same as - J. Only used if- Jinvis- NULL
- Jinv - [optional] Matrix used to apply the inverse of the state Jacobian. Use - NULLto default to PETSc- KSPsolvers to apply the inverse.
- func - Jacobian evaluation routine 
- ctx - [optional] user-defined context for private data for the Jacobian evaluation routine (may be - NULL)
Calling sequence of func#
- tao - the - Taocontext
- x - input vector 
- J - Jacobian matrix 
- Jpre - matrix used to construct the preconditioner, usually the same as - J
- Jinv - inverse of - J
- ctx - [optional] user-defined Jacobian context 
See Also#
TAO: Optimization Solvers, Tao, TaoComputeJacobianState(), TaoSetJacobianDesignRoutine(), TaoSetStateDesignIS()
Level#
intermediate
Location#
Examples#
src/tao/pde_constrained/tutorials/hyperbolic.c
src/tao/pde_constrained/tutorials/parabolic.c
src/tao/pde_constrained/tutorials/elliptic.c
Index of all Tao routines
Table of Contents for all manual pages
Index of all manual pages