1e0ed867bSAlp Dener #include <../src/tao/bound/impls/bqnk/bqnk.h> 2e0ed867bSAlp Dener 35eb5f4d6SAlp Dener static PetscErrorCode TaoSetUp_BQNKTL(Tao tao) 45eb5f4d6SAlp Dener { 55eb5f4d6SAlp Dener TAO_BNK *bnk = (TAO_BNK*)tao->data; 65eb5f4d6SAlp Dener PetscErrorCode ierr; 75eb5f4d6SAlp Dener 85eb5f4d6SAlp Dener PetscFunctionBegin; 95eb5f4d6SAlp Dener ierr = TaoSetUp_BQNK(tao);CHKERRQ(ierr); 105eb5f4d6SAlp Dener if (!bnk->is_nash && !bnk->is_stcg && !bnk->is_gltr) SETERRQ(PetscObjectComm((PetscObject)tao),PETSC_ERR_SUP,"Must use a trust-region CG method for KSP (KSPNASH, KSPSTCG, KSPGLTR)"); 115eb5f4d6SAlp Dener PetscFunctionReturn(0); 125eb5f4d6SAlp Dener } 135eb5f4d6SAlp Dener 143850be85SAlp Dener /*MC 153850be85SAlp Dener TAOBQNKTL - Bounded Quasi-Newton-Krylov Trust-region with Line-search fallback, for nonlinear 163850be85SAlp Dener minimization with bound constraints. This method approximates the Hessian-vector 173850be85SAlp Dener product using a limited-memory quasi-Newton formula, and iteratively inverts the 183850be85SAlp Dener Hessian with a Krylov solver. The quasi-Newton matrix and its settings can be 19*9fa2b5dcSStefano Zampini accessed via the prefix `-tao_bqnk_`. For options database, see TAOBNK 203850be85SAlp Dener 213850be85SAlp Dener Level: beginner 22*9fa2b5dcSStefano Zampini .seealso TAOBNK, TAOBQNKTR, TAOBQNKLS 233850be85SAlp Dener M*/ 24e0ed867bSAlp Dener PETSC_EXTERN PetscErrorCode TaoCreate_BQNKTL(Tao tao) 25e0ed867bSAlp Dener { 26414d97d3SAlp Dener TAO_BNK *bnk; 27414d97d3SAlp Dener TAO_BQNK *bqnk; 28e0ed867bSAlp Dener PetscErrorCode ierr; 29e0ed867bSAlp Dener 30e0ed867bSAlp Dener PetscFunctionBegin; 31e0ed867bSAlp Dener ierr = TaoCreate_BQNK(tao);CHKERRQ(ierr); 325eb5f4d6SAlp Dener tao->ops->setup = TaoSetUp_BQNKTL; 33414d97d3SAlp Dener bnk = (TAO_BNK*)tao->data; 34414d97d3SAlp Dener bqnk = (TAO_BQNK*)bnk->ctx; 35414d97d3SAlp Dener bqnk->solve = TaoSolve_BNTL; 36e0ed867bSAlp Dener PetscFunctionReturn(0); 37e0ed867bSAlp Dener } 38