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, Vec, Mat, Mat, Mat, void *), void *ctx)
Logically collective
Input Parameters#
tao - the Tao context
J - Matrix used for the jacobian
Jpre - Matrix that will be used operated on by PETSc preconditioner, can be same as J. Only used if Jinv is NULL
Jinv - [optional] Matrix used to apply the inverse of the state jacobian. Use NULL to default to PETSc KSP solvers 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 Tao context
x - input vector
J - Jacobian matrix
Jpre - preconditioner matrix, usually the same as J
Jinv - inverse of J
ctx - [optional] user-defined Jacobian context
See Also#
Tao
, TaoComputeJacobianState()
, TaoSetJacobianDesignRoutine()
, TaoSetStateDesignIS()
Level#
intermediate
Location#
Examples#
src/tao/pde_constrained/tutorials/elliptic.c.html
src/tao/pde_constrained/tutorials/hyperbolic.c.html
src/tao/pde_constrained/tutorials/parabolic.c.html
Index of all Tao routines
Table of Contents for all manual pages
Index of all manual pages