TaoSetObjectiveAndGradient

Sets a combined objective function and gradient evaluation routine for the function to be optimized

Synopsis

#include "petsctao.h" 
PetscErrorCode TaoSetObjectiveAndGradient(Tao tao, Vec g, PetscErrorCode (*func)(Tao tao, Vec x, PetscReal *f, Vec g, void *ctx), void *ctx)

Logically Collective

Input Parameters

• tao - the Tao context

• g - [optional] the vector to internally hold the gradient computation

• func - the gradient function

• ctx - [optional] user-defined context for private data for the gradient evaluation routine (may be NULL)

Calling sequence of func

• tao - the optimization object

• x - input vector

• f - objective value (output)

• g - gradient value (output)

• ctx - [optional] user-defined function context

Note

For some optimization methods using a combined function can be more eifficient.

See Also

TAO: Optimization Solvers, Tao, TaoSolve(), TaoSetObjective(), TaoSetHessian(), TaoSetGradient(), TaoGetObjectiveAndGradient()

Level

beginner

Location

src/tao/interface/taosolver_fg.c

Examples

src/tao/unconstrained/tutorials/eptorsion2.c
src/tao/unconstrained/tutorials/minsurf1.c
src/tao/unconstrained/tutorials/rosenbrock1.c
src/tao/unconstrained/tutorials/minsurf2.c
src/tao/unconstrained/tutorials/rosenbrock2.c
src/tao/unconstrained/tutorials/rosenbrock3.c
src/tao/unconstrained/tutorials/burgers_spectral.c
src/tao/unconstrained/tutorials/spectraladjointassimilation.c
src/tao/bound/tutorials/plate2.c
src/tao/bound/tutorials/jbearing2.c

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Index of all Tao routines
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