Date: 2021-03-03T22:28:13+00:00

Actual source code: ssls.c
petsc-3.14.5 2021-03-03
Report Typos and Errors

      1: #include <../src/tao/complementarity/impls/ssls/ssls.h>

      3: /*------------------------------------------------------------*/
      4: PetscErrorCode TaoSetFromOptions_SSLS(PetscOptionItems *PetscOptionsObject,Tao tao)
      5: {
      6:   TAO_SSLS       *ssls = (TAO_SSLS *)tao->data;

     10:   PetscOptionsHead(PetscOptionsObject,"Semismooth method with a linesearch for complementarity problems");
     11:   PetscOptionsReal("-ssls_delta", "descent test fraction", "",ssls->delta, &ssls->delta, NULL);
     12:   PetscOptionsReal("-ssls_rho", "descent test power", "",ssls->rho, &ssls->rho, NULL);
     13:   TaoLineSearchSetFromOptions(tao->linesearch);
     14:   KSPSetFromOptions(tao->ksp);
     15:   PetscOptionsTail();
     16:   return(0);
     17: }

     19: /*------------------------------------------------------------*/
     20: PetscErrorCode TaoView_SSLS(Tao tao, PetscViewer pv)
     21: {
     23:   return(0);
     24: }

     26: /*------------------------------------------------------------*/
     27: PetscErrorCode Tao_SSLS_Function(TaoLineSearch ls, Vec X, PetscReal *fcn, void *ptr)
     28: {
     29:   Tao            tao = (Tao)ptr;
     30:   TAO_SSLS       *ssls = (TAO_SSLS *)tao->data;

     34:   TaoComputeConstraints(tao, X, tao->constraints);
     35:   VecFischer(X,tao->constraints,tao->XL,tao->XU,ssls->ff);
     36:   VecNorm(ssls->ff,NORM_2,&ssls->merit);
     37:   *fcn = 0.5*ssls->merit*ssls->merit;
     38:   return(0);
     39: }

     41: /*------------------------------------------------------------*/
     42: PetscErrorCode Tao_SSLS_FunctionGradient(TaoLineSearch ls, Vec X, PetscReal *fcn,  Vec G, void *ptr)
     43: {
     44:   Tao            tao = (Tao)ptr;
     45:   TAO_SSLS       *ssls = (TAO_SSLS *)tao->data;

     49:   TaoComputeConstraints(tao, X, tao->constraints);
     50:   VecFischer(X,tao->constraints,tao->XL,tao->XU,ssls->ff);
     51:   VecNorm(ssls->ff,NORM_2,&ssls->merit);
     52:   *fcn = 0.5*ssls->merit*ssls->merit;

     54:   TaoComputeJacobian(tao,tao->solution,tao->jacobian,tao->jacobian_pre);

     56:   MatDFischer(tao->jacobian, tao->solution, tao->constraints,tao->XL, tao->XU, ssls->t1, ssls->t2,ssls->da, ssls->db);
     57:   MatDiagonalScale(tao->jacobian,ssls->db,NULL);
     58:   MatDiagonalSet(tao->jacobian,ssls->da,ADD_VALUES);
     59:   MatMultTranspose(tao->jacobian,ssls->ff,G);
     60:   return(0);
     61: }