petsc-3.10.5 2019-03-28
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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 on Tao

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

   func(Tao tao,Vec x,Mat J,Mat Jpre,Mat Jinv,void *ctx);

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

TaoComputeJacobianState(), TaoSetJacobianDesignRoutine(), TaoSetStateDesignIS()

Level

intermediate

Location

src/tao/interface/taosolver_hj.c

Examples

src/tao/pde_constrained/examples/tutorials/elliptic.c.html
src/tao/pde_constrained/examples/tutorials/parabolic.c.html
src/tao/pde_constrained/examples/tutorials/hyperbolic.c.html

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