xref: /petsc/src/tao/bound/impls/blmvm/blmvm.c (revision e5fecd4e9f28855bcbc1b221aea9fab88772a609)
1*e5fecd4eSAlp Dener #include <../src/tao/bound/impls/bqnk/bqnk.h>
2a7e14dcfSSatish Balay 
3*e5fecd4eSAlp Dener PETSC_EXTERN PetscErrorCode TaoCreate_BQNLS(Tao);
4a7e14dcfSSatish Balay 
52ec5c1acSAlp Dener static PetscErrorCode TaoSetFromOptions_BLMVM(PetscOptionItems *PetscOptionsObject,Tao tao)
6a7e14dcfSSatish Balay {
7*e5fecd4eSAlp Dener   TAO_BNK        *bnk = (TAO_BNK *)tao->data;
8*e5fecd4eSAlp Dener   TAO_BQNK       *bqnk = (TAO_BQNK*)bnk->ctx;
9a7e14dcfSSatish Balay   PetscErrorCode ierr;
10*e5fecd4eSAlp Dener   KSPType        ksp_type;
11*e5fecd4eSAlp Dener   PetscBool      is_spd;
12a7e14dcfSSatish Balay 
13a7e14dcfSSatish Balay   PetscFunctionBegin;
14*e5fecd4eSAlp Dener   ierr = PetscOptionsHead(PetscOptionsObject,"Quasi-Newton-Krylov method for bound constrained optimization");CHKERRQ(ierr);
15*e5fecd4eSAlp Dener   ierr = PetscOptionsEList("-tao_blmvm_as_type", "active set estimation method", "", BNK_AS, BNK_AS_TYPES, BNK_AS[bnk->as_type], &bnk->as_type, 0);CHKERRQ(ierr);
16*e5fecd4eSAlp Dener   ierr = PetscOptionsReal("-tao_blmvm_epsilon", "(developer) tolerance used when computing actual and predicted reduction", "", bnk->epsilon, &bnk->epsilon,NULL);CHKERRQ(ierr);
17*e5fecd4eSAlp Dener   ierr = PetscOptionsReal("-tao_blmvm_as_tol", "(developer) initial tolerance used when estimating actively bounded variables", "", bnk->as_tol, &bnk->as_tol,NULL);CHKERRQ(ierr);
18*e5fecd4eSAlp Dener   ierr = PetscOptionsReal("-tao_blmvm_as_step", "(developer) step length used when estimating actively bounded variables", "", bnk->as_step, &bnk->as_step,NULL);CHKERRQ(ierr);
19*e5fecd4eSAlp Dener   ierr = PetscOptionsInt("-tao_blmvm_max_cg_its", "number of BNCG iterations to take for each Newton step", "", bnk->max_cg_its, &bnk->max_cg_its,NULL);CHKERRQ(ierr);
20*e5fecd4eSAlp Dener   ierr = PetscOptionsTail();CHKERRQ(ierr);
21*e5fecd4eSAlp Dener   ierr = TaoSetFromOptions(bnk->bncg);CHKERRQ(ierr);
22a7e14dcfSSatish Balay   ierr = TaoLineSearchSetFromOptions(tao->linesearch);CHKERRQ(ierr);
23*e5fecd4eSAlp Dener   ierr = KSPSetFromOptions(tao->ksp);CHKERRQ(ierr);
24*e5fecd4eSAlp Dener   ierr = KSPGetType(tao->ksp,&ksp_type);CHKERRQ(ierr);
25*e5fecd4eSAlp Dener   bnk->is_nash = bnk->is_gltr = bnk->is_stcg = PETSC_FALSE;
26*e5fecd4eSAlp Dener   ierr = MatSetFromOptions(bqnk->B);CHKERRQ(ierr);
27*e5fecd4eSAlp Dener   ierr = MatGetOption(bqnk->B, MAT_SPD, &is_spd);CHKERRQ(ierr);
28*e5fecd4eSAlp Dener   if (!is_spd) SETERRQ(PetscObjectComm((PetscObject)tao), PETSC_ERR_ARG_INCOMP, "LMVM matrix must be symmetric positive-definite");
29a7e14dcfSSatish Balay   PetscFunctionReturn(0);
30a7e14dcfSSatish Balay }
31a7e14dcfSSatish Balay 
32728e0ed0SBarry Smith PETSC_EXTERN PetscErrorCode TaoCreate_BLMVM(Tao tao)
33a7e14dcfSSatish Balay {
34a7e14dcfSSatish Balay   PetscErrorCode ierr;
35a7e14dcfSSatish Balay 
36a7e14dcfSSatish Balay   PetscFunctionBegin;
37*e5fecd4eSAlp Dener   ierr = PetscPrintf(PetscObjectComm((PetscObject)tao), "BLMVM is deprecated and will be removed in a future PETSc/TAO release. Please use BQNLS instead.\n");CHKERRQ(ierr);
38*e5fecd4eSAlp Dener   ierr = TaoCreate_BQNLS(tao);CHKERRQ(ierr);
39a7e14dcfSSatish Balay   tao->ops->setfromoptions = TaoSetFromOptions_BLMVM;
40a9603a14SPatrick Farrell   PetscFunctionReturn(0);
41a9603a14SPatrick Farrell }