TSSetCostGradients#

Sets the initial value of the gradients of the cost function w.r.t. initial values and w.r.t. the problem parameters for use by the TS adjoint routines.

Synopsis#

#include "petscts.h"  
PetscErrorCode TSSetCostGradients(TS ts, PetscInt numcost, Vec *lambda, Vec *mu)

Logically Collective

Input Parameters#

  • ts - the TS context obtained from TSCreate()

  • numcost - number of gradients to be computed, this is the number of cost functions

  • lambda - gradients with respect to the initial condition variables, the dimension and parallel layout of these vectors is the same as the ODE solution vector

  • mu - gradients with respect to the parameters, the number of entries in these vectors is the same as the number of parameters

Notes#

the entries in these vectors must be correctly initialized with the values lambda_i = df/dy|finaltime mu_i = df/dp|finaltime

After TSAdjointSolve() is called the lambda and the mu contain the computed sensitivities

See Also#

TS, TSAdjointSolve(), TSGetCostGradients()

Level#

beginner

Location#

src/ts/interface/sensitivity/tssen.c

Examples#

src/tao/unconstrained/tutorials/burgers_spectral.c
src/tao/unconstrained/tutorials/spectraladjointassimilation.c
src/ts/tutorials/ex20adj.c
src/ts/tutorials/ex20opt_ic.c
src/ts/tutorials/ex20opt_p.c
src/ts/tutorials/ex20td.c
src/ts/tutorials/ex23fwdadj.c
src/ts/tutorials/extchem.c
src/ts/tutorials/extchemfield.c

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Index of all Sensitivity routines
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Index of all manual pages