1 #include <../src/tao/complementarity/impls/ssls/ssls.h> 2 3 PetscErrorCode TaoSetUp_SSILS(Tao tao) 4 { 5 TAO_SSLS *ssls = (TAO_SSLS *)tao->data; 6 7 PetscFunctionBegin; 8 PetscCall(VecDuplicate(tao->solution,&tao->gradient)); 9 PetscCall(VecDuplicate(tao->solution,&tao->stepdirection)); 10 PetscCall(VecDuplicate(tao->solution,&ssls->ff)); 11 PetscCall(VecDuplicate(tao->solution,&ssls->dpsi)); 12 PetscCall(VecDuplicate(tao->solution,&ssls->da)); 13 PetscCall(VecDuplicate(tao->solution,&ssls->db)); 14 PetscCall(VecDuplicate(tao->solution,&ssls->t1)); 15 PetscCall(VecDuplicate(tao->solution,&ssls->t2)); 16 PetscFunctionReturn(0); 17 } 18 19 PetscErrorCode TaoDestroy_SSILS(Tao tao) 20 { 21 TAO_SSLS *ssls = (TAO_SSLS *)tao->data; 22 23 PetscFunctionBegin; 24 PetscCall(VecDestroy(&ssls->ff)); 25 PetscCall(VecDestroy(&ssls->dpsi)); 26 PetscCall(VecDestroy(&ssls->da)); 27 PetscCall(VecDestroy(&ssls->db)); 28 PetscCall(VecDestroy(&ssls->t1)); 29 PetscCall(VecDestroy(&ssls->t2)); 30 PetscCall(KSPDestroy(&tao->ksp)); 31 PetscCall(PetscFree(tao->data)); 32 PetscFunctionReturn(0); 33 } 34 35 static PetscErrorCode TaoSolve_SSILS(Tao tao) 36 { 37 TAO_SSLS *ssls = (TAO_SSLS *)tao->data; 38 PetscReal psi, ndpsi, normd, innerd, t=0; 39 PetscReal delta, rho; 40 TaoLineSearchConvergedReason ls_reason; 41 42 PetscFunctionBegin; 43 /* Assume that Setup has been called! 44 Set the structure for the Jacobian and create a linear solver. */ 45 delta = ssls->delta; 46 rho = ssls->rho; 47 48 PetscCall(TaoComputeVariableBounds(tao)); 49 PetscCall(VecMedian(tao->XL,tao->solution,tao->XU,tao->solution)); 50 PetscCall(TaoLineSearchSetObjectiveAndGradientRoutine(tao->linesearch,Tao_SSLS_FunctionGradient,tao)); 51 PetscCall(TaoLineSearchSetObjectiveRoutine(tao->linesearch,Tao_SSLS_Function,tao)); 52 53 /* Calculate the function value and fischer function value at the 54 current iterate */ 55 PetscCall(TaoLineSearchComputeObjectiveAndGradient(tao->linesearch,tao->solution,&psi,ssls->dpsi)); 56 PetscCall(VecNorm(ssls->dpsi,NORM_2,&ndpsi)); 57 58 tao->reason = TAO_CONTINUE_ITERATING; 59 while (PETSC_TRUE) { 60 PetscCall(PetscInfo(tao, "iter: %" PetscInt_FMT ", merit: %g, ndpsi: %g\n",tao->niter, (double)ssls->merit, (double)ndpsi)); 61 /* Check the termination criteria */ 62 PetscCall(TaoLogConvergenceHistory(tao,ssls->merit,ndpsi,0.0,tao->ksp_its)); 63 PetscCall(TaoMonitor(tao,tao->niter,ssls->merit,ndpsi,0.0,t)); 64 PetscCall((*tao->ops->convergencetest)(tao,tao->cnvP)); 65 if (tao->reason!=TAO_CONTINUE_ITERATING) break; 66 67 /* Call general purpose update function */ 68 if (tao->ops->update) { 69 PetscCall((*tao->ops->update)(tao, tao->niter, tao->user_update)); 70 } 71 tao->niter++; 72 73 /* Calculate direction. (Really negative of newton direction. Therefore, 74 rest of the code uses -d.) */ 75 PetscCall(KSPSetOperators(tao->ksp,tao->jacobian,tao->jacobian_pre)); 76 PetscCall(KSPSolve(tao->ksp,ssls->ff,tao->stepdirection)); 77 PetscCall(KSPGetIterationNumber(tao->ksp,&tao->ksp_its)); 78 tao->ksp_tot_its+=tao->ksp_its; 79 PetscCall(VecNorm(tao->stepdirection,NORM_2,&normd)); 80 PetscCall(VecDot(tao->stepdirection,ssls->dpsi,&innerd)); 81 82 /* Make sure that we have a descent direction */ 83 if (innerd <= delta*PetscPowReal(normd, rho)) { 84 PetscCall(PetscInfo(tao, "newton direction not descent\n")); 85 PetscCall(VecCopy(ssls->dpsi,tao->stepdirection)); 86 PetscCall(VecDot(tao->stepdirection,ssls->dpsi,&innerd)); 87 } 88 89 PetscCall(VecScale(tao->stepdirection, -1.0)); 90 innerd = -innerd; 91 92 PetscCall(TaoLineSearchSetInitialStepLength(tao->linesearch,1.0)); 93 PetscCall(TaoLineSearchApply(tao->linesearch,tao->solution,&psi,ssls->dpsi,tao->stepdirection,&t,&ls_reason)); 94 PetscCall(VecNorm(ssls->dpsi,NORM_2,&ndpsi)); 95 } 96 PetscFunctionReturn(0); 97 } 98 99 /* ---------------------------------------------------------- */ 100 /*MC 101 TAOSSILS - semi-smooth infeasible linesearch algorithm for solving 102 complementarity constraints 103 104 Options Database Keys: 105 + -tao_ssls_delta - descent test fraction 106 - -tao_ssls_rho - descent test power 107 108 Level: beginner 109 M*/ 110 PETSC_EXTERN PetscErrorCode TaoCreate_SSILS(Tao tao) 111 { 112 TAO_SSLS *ssls; 113 const char *armijo_type = TAOLINESEARCHARMIJO; 114 115 PetscFunctionBegin; 116 PetscCall(PetscNewLog(tao,&ssls)); 117 tao->data = (void*)ssls; 118 tao->ops->solve=TaoSolve_SSILS; 119 tao->ops->setup=TaoSetUp_SSILS; 120 tao->ops->view=TaoView_SSLS; 121 tao->ops->setfromoptions=TaoSetFromOptions_SSLS; 122 tao->ops->destroy = TaoDestroy_SSILS; 123 124 ssls->delta = 1e-10; 125 ssls->rho = 2.1; 126 127 PetscCall(TaoLineSearchCreate(((PetscObject)tao)->comm,&tao->linesearch)); 128 PetscCall(PetscObjectIncrementTabLevel((PetscObject)tao->linesearch, (PetscObject)tao, 1)); 129 PetscCall(TaoLineSearchSetType(tao->linesearch,armijo_type)); 130 PetscCall(TaoLineSearchSetOptionsPrefix(tao->linesearch,tao->hdr.prefix)); 131 PetscCall(TaoLineSearchSetFromOptions(tao->linesearch)); 132 /* Note: linesearch objective and objectivegradient routines are set in solve routine */ 133 PetscCall(KSPCreate(((PetscObject)tao)->comm,&tao->ksp)); 134 PetscCall(PetscObjectIncrementTabLevel((PetscObject)tao->ksp, (PetscObject)tao, 1)); 135 PetscCall(KSPSetOptionsPrefix(tao->ksp,tao->hdr.prefix)); 136 137 /* Override default settings (unless already changed) */ 138 if (!tao->max_it_changed) tao->max_it = 2000; 139 if (!tao->max_funcs_changed) tao->max_funcs = 4000; 140 if (!tao->gttol_changed) tao->gttol = 0; 141 if (!tao->grtol_changed) tao->grtol = 0; 142 #if defined(PETSC_USE_REAL_SINGLE) 143 if (!tao->gatol_changed) tao->gatol = 1.0e-6; 144 if (!tao->fmin_changed) tao->fmin = 1.0e-4; 145 #else 146 if (!tao->gatol_changed) tao->gatol = 1.0e-16; 147 if (!tao->fmin_changed) tao->fmin = 1.0e-8; 148 #endif 149 PetscFunctionReturn(0); 150 } 151