petsc-3.8.4 2018-03-24
TaoSolve
Solves an optimization problem min F(x) s.t. l <= x <= u
Synopsis
#include "petsctao.h"
PetscErrorCode TaoSolve(Tao tao)
Collective on Tao
Input Parameters
tao -the Tao context
Notes
The user must set up the Tao with calls to TaoSetInitialVector(),
TaoSetObjectiveRoutine(),
TaoSetGradientRoutine(), and (if using 2nd order method) TaoSetHessianRoutine().
You should call TaoGetConvergedReason() or run with -tao_converged_reason to determine if the optimization algorithm actually succeeded or
why it failed.
See Also
TaoCreate(), TaoSetObjectiveRoutine(), TaoSetGradientRoutine(), TaoSetHessianRoutine(), TaoGetConvergedReason()
Level:beginner
Location:src/tao/interface/taosolver.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/heat-data-assimulation.c.html
src/tao/unconstrained/examples/tutorials/eptorsion2f.F.html
src/tao/unconstrained/examples/tutorials/rosenbrock1f.F90.html