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 to construct the 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#

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

  • tao - the Tao context

  • 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#

src/tao/interface/taosolver_hj.c

Examples#

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

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