petsc-3.7.5 2017-01-01
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TaoSetObjectiveAndGradientRoutine

Sets a combined objective function and gradient evaluation routine for minimization

Synopsis

#include "petsctao.h" 
PetscErrorCode TaoSetObjectiveAndGradientRoutine(Tao tao, PetscErrorCode (*func)(Tao, Vec, PetscReal *, Vec, void*), void *ctx)
Logically collective on Tao

Input Parameter

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

Calling sequence of func

     func (Tao tao, Vec x, PetscReal *f, Vec g, void *ctx);

x - input vector
f - objective value (output)
g - gradient value (output)
ctx - [optional] user-defined function context

See Also

TaoSetObjectiveRoutine(), TaoSetHessianRoutine() TaoSetObjectiveAndGradientRoutine()

Level:beginner
Location:
src/tao/interface/taosolver_fg.c
Index of all Tao routines
Table of Contents for all manual pages
Index of all manual pages

Examples

src/ts/examples/tutorials/ex16opt_p.c.html
src/ts/examples/tutorials/ex16opt_ic.c.html
src/ts/examples/tutorials/ex20opt_p.c.html
src/ts/examples/tutorials/ex20opt_ic.c.html
src/tao/unconstrained/examples/tutorials/eptorsion1.c.html
src/tao/unconstrained/examples/tutorials/eptorsion2.c.html
src/tao/unconstrained/examples/tutorials/minsurf2.c.html
src/tao/unconstrained/examples/tutorials/rosenbrock1.c.html
src/tao/unconstrained/examples/tutorials/eptorsion2f.F.html
src/tao/unconstrained/examples/tutorials/rosenbrock1f.F.html
src/tao/constrained/examples/tutorials/maros.c.html