TaoSetJacobianInequalityRoutine#

Sets the function to compute the Jacobian (and its inverse) of the constraint function with respect to the inequality variables. Used only for PDE-constrained optimization.

Synopsis#

#include "petsctao.h" 
PetscErrorCode TaoSetJacobianInequalityRoutine(Tao tao, Mat J, Mat Jpre, PetscErrorCode (*func)(Tao tao, Vec x, Mat J, Mat Jpre, void *ctx), 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.

  • 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 - matrix used to construct the preconditioner, usually the same as J

  • ctx - [optional] user-defined Jacobian context

See Also#

TAO: Optimization Solvers, Tao, TaoComputeJacobianInequality(), TaoSetJacobianDesignRoutine(), TaoSetInequalityDesignIS()

Level#

intermediate

Location#

src/tao/interface/taosolver_hj.c

Examples#

src/tao/constrained/tutorials/maros.c
src/tao/constrained/tutorials/ex1.c


Index of all Tao routines
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Index of all manual pages