#include <../src/tao/complementarity/impls/ssls/ssls.h> PetscErrorCode TaoSetFromOptions_SSLS(Tao tao, PetscOptionItems PetscOptionsObject) { TAO_SSLS *ssls = (TAO_SSLS *)tao->data; PetscFunctionBegin; PetscOptionsHeadBegin(PetscOptionsObject, "Semismooth method with a linesearch for complementarity problems"); PetscCall(PetscOptionsReal("-ssls_delta", "descent test fraction", "", ssls->delta, &ssls->delta, NULL)); PetscCall(PetscOptionsReal("-ssls_rho", "descent test power", "", ssls->rho, &ssls->rho, NULL)); PetscCall(TaoLineSearchSetFromOptions(tao->linesearch)); PetscCall(KSPSetFromOptions(tao->ksp)); PetscOptionsHeadEnd(); PetscFunctionReturn(PETSC_SUCCESS); } PetscErrorCode TaoView_SSLS(Tao tao, PetscViewer pv) { PetscFunctionBegin; PetscFunctionReturn(PETSC_SUCCESS); } PetscErrorCode Tao_SSLS_Function(TaoLineSearch ls, Vec X, PetscReal *fcn, void *ptr) { Tao tao = (Tao)ptr; TAO_SSLS *ssls = (TAO_SSLS *)tao->data; PetscFunctionBegin; PetscCall(TaoComputeConstraints(tao, X, tao->constraints)); PetscCall(VecFischer(X, tao->constraints, tao->XL, tao->XU, ssls->ff)); PetscCall(VecNorm(ssls->ff, NORM_2, &ssls->merit)); *fcn = 0.5 * ssls->merit * ssls->merit; PetscFunctionReturn(PETSC_SUCCESS); } PetscErrorCode Tao_SSLS_FunctionGradient(TaoLineSearch ls, Vec X, PetscReal *fcn, Vec G, void *ptr) { Tao tao = (Tao)ptr; TAO_SSLS *ssls = (TAO_SSLS *)tao->data; PetscFunctionBegin; PetscCall(TaoComputeConstraints(tao, X, tao->constraints)); PetscCall(VecFischer(X, tao->constraints, tao->XL, tao->XU, ssls->ff)); PetscCall(VecNorm(ssls->ff, NORM_2, &ssls->merit)); *fcn = 0.5 * ssls->merit * ssls->merit; PetscCall(TaoComputeJacobian(tao, tao->solution, tao->jacobian, tao->jacobian_pre)); PetscCall(MatDFischer(tao->jacobian, tao->solution, tao->constraints, tao->XL, tao->XU, ssls->t1, ssls->t2, ssls->da, ssls->db)); PetscCall(MatDiagonalScale(tao->jacobian, ssls->db, NULL)); PetscCall(MatDiagonalSet(tao->jacobian, ssls->da, ADD_VALUES)); PetscCall(MatMultTranspose(tao->jacobian, ssls->ff, G)); PetscFunctionReturn(PETSC_SUCCESS); }