1 #include <petsc-private/snesimpl.h> /*I "petscsnes.h" I*/ 2 3 #define H(i,j) qn->dXdFmat[i*qn->m + j] 4 5 const char *const SNESQNScaleTypes[] = {"NONE","SHANNO","LINESEARCH","JACOBIAN","SNESQNScaleType","SNES_QN_SCALING_",0}; 6 const char *const SNESQNRestartTypes[] = {"NONE","POWELL","PERIODIC","SNESQNRestartType","SNES_QN_RESTART_",0}; 7 const char *const SNESQNTypes[] = {"LBFGS","BROYDEN","BADBROYDEN","SNESQNType","SNES_QN_RESTART_",0}; 8 9 typedef enum {SNES_QN_LBFGS = 0, 10 SNES_QN_BROYDEN = 1, 11 SNES_QN_BADBROYDEN = 2 12 } SNESQNType; 13 14 typedef struct { 15 Vec *U; /* Stored past states (vary from method to method) */ 16 Vec *V; /* Stored past states (vary from method to method) */ 17 PetscInt m; /* The number of kept previous steps */ 18 PetscScalar *alpha, *beta; 19 PetscScalar *dXtdF, *dFtdX, *YtdX; 20 PetscBool singlereduction; /* Aggregated reduction implementation */ 21 PetscScalar *dXdFmat; /* A matrix of values for dX_i dot dF_j */ 22 PetscViewer monitor; 23 PetscReal powell_gamma; /* Powell angle restart condition */ 24 PetscReal powell_downhill; /* Powell descent restart condition */ 25 PetscReal scaling; /* scaling of H0 */ 26 SNESQNType type; /* the type of quasi-newton method used */ 27 SNESQNScaleType scale_type; /* the type of scaling used */ 28 SNESQNRestartType restart_type; /* determine the frequency and type of restart conditions */ 29 } SNES_QN; 30 31 #undef __FUNCT__ 32 #define __FUNCT__ "SNESQNApply_Broyden" 33 PetscErrorCode SNESQNApply_Broyden(SNES snes,PetscInt it,Vec Y,Vec X,Vec Xold, Vec D, Vec Dold) 34 { 35 PetscErrorCode ierr; 36 SNES_QN *qn = (SNES_QN*)snes->data; 37 Vec W = snes->work[3]; 38 Vec *U = qn->U; 39 Vec *V = qn->V; 40 KSPConvergedReason kspreason; 41 PetscInt k,i,lits; 42 PetscInt m = qn->m; 43 PetscScalar gdot; 44 PetscInt l = m; 45 46 PetscFunctionBegin; 47 if (it < m) l = it; 48 if (qn->scale_type == SNES_QN_SCALE_JACOBIAN) { 49 ierr = KSPSolve(snes->ksp,D,W);CHKERRQ(ierr); 50 ierr = KSPGetConvergedReason(snes->ksp,&kspreason);CHKERRQ(ierr); 51 if (kspreason < 0) { 52 if (++snes->numLinearSolveFailures >= snes->maxLinearSolveFailures) { 53 ierr = PetscInfo2(snes,"iter=%D, number linear solve failures %D greater than current SNES allowed, stopping solve\n",snes->iter,snes->numLinearSolveFailures);CHKERRQ(ierr); 54 snes->reason = SNES_DIVERGED_LINEAR_SOLVE; 55 PetscFunctionReturn(0); 56 } 57 } 58 ierr = KSPGetIterationNumber(snes->ksp,&lits);CHKERRQ(ierr); 59 snes->linear_its += lits; 60 ierr = VecCopy(W,Y);CHKERRQ(ierr); 61 } else { 62 ierr = VecCopy(D,Y);CHKERRQ(ierr); 63 ierr = VecScale(Y,qn->scaling);CHKERRQ(ierr); 64 } 65 66 /* inward recursion starting at the first update and working forward */ 67 if (it > 1) { 68 for (i = 0; i < l-1; i++) { 69 k = (it+i-l)%l; 70 ierr = VecDot(U[k],Y,&gdot);CHKERRQ(ierr); 71 ierr = VecAXPY(Y,gdot,V[k]);CHKERRQ(ierr); 72 if (qn->monitor) { 73 ierr = PetscViewerASCIIAddTab(qn->monitor,((PetscObject)snes)->tablevel+2);CHKERRQ(ierr); 74 ierr = PetscViewerASCIIPrintf(qn->monitor, "it: %d k: %d gdot: %14.12e\n", it, k, PetscRealPart(gdot));CHKERRQ(ierr); 75 ierr = PetscViewerASCIISubtractTab(qn->monitor,((PetscObject)snes)->tablevel+2);CHKERRQ(ierr); 76 } 77 } 78 } 79 if (it < m) l = it; 80 81 /* set W to be the last step, post-linesearch */ 82 ierr = VecCopy(Xold,W);CHKERRQ(ierr); 83 ierr = VecAXPY(W,-1.0,X);CHKERRQ(ierr); 84 85 if (l > 0) { 86 k = (it-1)%l; 87 ierr = VecCopy(W,U[k]);CHKERRQ(ierr); 88 ierr = VecAXPY(W,-1.0,Y);CHKERRQ(ierr); 89 ierr = VecDot(U[k],W,&gdot);CHKERRQ(ierr); 90 ierr = VecCopy(Y,V[k]);CHKERRQ(ierr); 91 ierr = VecScale(V[k],1.0/gdot);CHKERRQ(ierr); 92 ierr = VecDot(U[k],Y,&gdot);CHKERRQ(ierr); 93 ierr = VecAXPY(Y,gdot,V[k]);CHKERRQ(ierr); 94 if (qn->monitor) { 95 ierr = PetscViewerASCIIAddTab(qn->monitor,((PetscObject)snes)->tablevel+2);CHKERRQ(ierr); 96 ierr = PetscViewerASCIIPrintf(qn->monitor, "update: %d k: %d gdot: %14.12e\n", it, k, PetscRealPart(gdot));CHKERRQ(ierr); 97 ierr = PetscViewerASCIISubtractTab(qn->monitor,((PetscObject)snes)->tablevel+2);CHKERRQ(ierr); 98 } 99 } 100 PetscFunctionReturn(0); 101 } 102 103 #undef __FUNCT__ 104 #define __FUNCT__ "SNESQNApply_BadBroyden" 105 PetscErrorCode SNESQNApply_BadBroyden(SNES snes,PetscInt it,Vec Y,Vec X,Vec Xold,Vec D,Vec Dold) 106 { 107 PetscErrorCode ierr; 108 SNES_QN *qn = (SNES_QN*)snes->data; 109 Vec W = snes->work[3]; 110 Vec *U = qn->U; 111 Vec *T = qn->V; 112 113 /* ksp thing for jacobian scaling */ 114 KSPConvergedReason kspreason; 115 PetscInt k, i, lits; 116 PetscInt m = qn->m; 117 PetscScalar gdot; 118 PetscInt l = m; 119 120 PetscFunctionBegin; 121 if (it < m) l = it; 122 ierr = VecCopy(D,Y);CHKERRQ(ierr); 123 if (l > 0) { 124 k = (it-1)%l; 125 ierr = VecCopy(Dold,U[k]);CHKERRQ(ierr); 126 ierr = VecAXPY(U[k],-1.0,D);CHKERRQ(ierr); 127 ierr = VecDot(U[k],U[k],&gdot);CHKERRQ(ierr); 128 ierr = VecCopy(D,T[k]);CHKERRQ(ierr); 129 ierr = VecScale(T[k],1.0/gdot);CHKERRQ(ierr); 130 ierr = VecDot(U[k],Y,&gdot);CHKERRQ(ierr); 131 ierr = VecAXPY(Y,gdot,T[k]);CHKERRQ(ierr); 132 if (qn->monitor) { 133 ierr = PetscViewerASCIIAddTab(qn->monitor,((PetscObject)snes)->tablevel+2);CHKERRQ(ierr); 134 ierr = PetscViewerASCIIPrintf(qn->monitor, "update: %d k: %d gdot: %14.12e\n", it, k, PetscRealPart(gdot));CHKERRQ(ierr); 135 ierr = PetscViewerASCIISubtractTab(qn->monitor,((PetscObject)snes)->tablevel+2);CHKERRQ(ierr); 136 } 137 } 138 139 /* inward recursion starting at the first update and working forward */ 140 if (it > 1) { 141 for (i = 0; i < l-1; i++) { 142 k = (it+i-l)%l; 143 ierr = VecDot(U[k],Y,&gdot);CHKERRQ(ierr); 144 ierr = VecAXPY(Y,gdot,T[k]);CHKERRQ(ierr); 145 if (qn->monitor) { 146 ierr = PetscViewerASCIIAddTab(qn->monitor,((PetscObject)snes)->tablevel+2);CHKERRQ(ierr); 147 ierr = PetscViewerASCIIPrintf(qn->monitor, "it: %d k: %d gdot: %14.12e\n", it, k, PetscRealPart(gdot));CHKERRQ(ierr); 148 ierr = PetscViewerASCIISubtractTab(qn->monitor,((PetscObject)snes)->tablevel+2);CHKERRQ(ierr); 149 } 150 } 151 } 152 153 if (qn->scale_type == SNES_QN_SCALE_JACOBIAN) { 154 ierr = KSPSolve(snes->ksp,Y,W);CHKERRQ(ierr); 155 ierr = KSPGetConvergedReason(snes->ksp,&kspreason);CHKERRQ(ierr); 156 if (kspreason < 0) { 157 if (++snes->numLinearSolveFailures >= snes->maxLinearSolveFailures) { 158 ierr = PetscInfo2(snes,"iter=%D, number linear solve failures %D greater than current SNES allowed, stopping solve\n",snes->iter,snes->numLinearSolveFailures);CHKERRQ(ierr); 159 snes->reason = SNES_DIVERGED_LINEAR_SOLVE; 160 PetscFunctionReturn(0); 161 } 162 } 163 ierr = KSPGetIterationNumber(snes->ksp,&lits);CHKERRQ(ierr); 164 snes->linear_its += lits; 165 ierr = VecCopy(W,Y);CHKERRQ(ierr); 166 } else { 167 ierr = VecScale(Y,qn->scaling);CHKERRQ(ierr); 168 } 169 PetscFunctionReturn(0); 170 } 171 172 #undef __FUNCT__ 173 #define __FUNCT__ "SNESQNApply_LBFGS" 174 PetscErrorCode SNESQNApply_LBFGS(SNES snes,PetscInt it,Vec Y,Vec X,Vec Xold,Vec D,Vec Dold) 175 { 176 PetscErrorCode ierr; 177 SNES_QN *qn = (SNES_QN*)snes->data; 178 Vec W = snes->work[3]; 179 Vec *dX = qn->U; 180 Vec *dF = qn->V; 181 PetscScalar *alpha = qn->alpha; 182 PetscScalar *beta = qn->beta; 183 PetscScalar *dXtdF = qn->dXtdF; 184 PetscScalar *dFtdX = qn->dFtdX; 185 PetscScalar *YtdX = qn->YtdX; 186 187 /* ksp thing for jacobian scaling */ 188 KSPConvergedReason kspreason; 189 PetscInt k,i,j,g,lits; 190 PetscInt m = qn->m; 191 PetscScalar t; 192 PetscInt l = m; 193 194 PetscFunctionBegin; 195 if (it < m) l = it; 196 if (it > 0) { 197 k = (it - 1) % l; 198 ierr = VecCopy(D, dF[k]);CHKERRQ(ierr); 199 ierr = VecAXPY(dF[k], -1.0, Dold);CHKERRQ(ierr); 200 ierr = VecCopy(X, dX[k]);CHKERRQ(ierr); 201 ierr = VecAXPY(dX[k], -1.0, Xold);CHKERRQ(ierr); 202 if (qn->singlereduction) { 203 ierr = VecMDot(dF[k], l, dX, dXtdF);CHKERRQ(ierr); 204 ierr = VecMDot(dX[k], l, dF, dFtdX);CHKERRQ(ierr); 205 for (j = 0; j < l; j++) { 206 H(k, j) = dFtdX[j]; 207 H(j, k) = dXtdF[j]; 208 } 209 /* copy back over to make the computation of alpha and beta easier */ 210 for (j = 0; j < l; j++) dXtdF[j] = H(j, j); 211 } else { 212 ierr = VecDot(dX[k], dF[k], &dXtdF[k]);CHKERRQ(ierr); 213 } 214 if (qn->scale_type == SNES_QN_SCALE_SHANNO) { 215 PetscReal dFtdF; 216 ierr = VecDotRealPart(dF[k],dF[k],&dFtdF);CHKERRQ(ierr); 217 qn->scaling = PetscRealPart(dXtdF[k])/dFtdF; 218 } else if (qn->scale_type == SNES_QN_SCALE_LINESEARCH) { 219 ierr = SNESLineSearchGetLambda(snes->linesearch,&qn->scaling);CHKERRQ(ierr); 220 } 221 } 222 223 ierr = VecCopy(D,Y);CHKERRQ(ierr); 224 225 if (qn->singlereduction) { 226 ierr = VecMDot(Y,l,dX,YtdX);CHKERRQ(ierr); 227 } 228 /* outward recursion starting at iteration k's update and working back */ 229 for (i=0; i<l; i++) { 230 k = (it-i-1)%l; 231 if (qn->singlereduction) { 232 /* construct t = dX[k] dot Y as Y_0 dot dX[k] + sum(-alpha[j]dX[k]dF[j]) */ 233 t = YtdX[k]; 234 for (j=0; j<i; j++) { 235 g = (it-j-1)%l; 236 t += -alpha[g]*H(g, k); 237 } 238 alpha[k] = t/H(k,k); 239 } else { 240 ierr = VecDot(dX[k],Y,&t);CHKERRQ(ierr); 241 alpha[k] = t/dXtdF[k]; 242 } 243 if (qn->monitor) { 244 ierr = PetscViewerASCIIAddTab(qn->monitor,((PetscObject)snes)->tablevel+2);CHKERRQ(ierr); 245 ierr = PetscViewerASCIIPrintf(qn->monitor, "it: %d k: %d alpha: %14.12e\n", it, k, PetscRealPart(alpha[k]));CHKERRQ(ierr); 246 ierr = PetscViewerASCIISubtractTab(qn->monitor,((PetscObject)snes)->tablevel+2);CHKERRQ(ierr); 247 } 248 ierr = VecAXPY(Y,-alpha[k],dF[k]);CHKERRQ(ierr); 249 } 250 251 if (qn->scale_type == SNES_QN_SCALE_JACOBIAN) { 252 ierr = KSPSolve(snes->ksp,Y,W);CHKERRQ(ierr); 253 ierr = KSPGetConvergedReason(snes->ksp,&kspreason);CHKERRQ(ierr); 254 if (kspreason < 0) { 255 if (++snes->numLinearSolveFailures >= snes->maxLinearSolveFailures) { 256 ierr = PetscInfo2(snes,"iter=%D, number linear solve failures %D greater than current SNES allowed, stopping solve\n",snes->iter,snes->numLinearSolveFailures);CHKERRQ(ierr); 257 snes->reason = SNES_DIVERGED_LINEAR_SOLVE; 258 PetscFunctionReturn(0); 259 } 260 } 261 ierr = KSPGetIterationNumber(snes->ksp,&lits);CHKERRQ(ierr); 262 snes->linear_its += lits; 263 ierr = VecCopy(W, Y);CHKERRQ(ierr); 264 } else { 265 ierr = VecScale(Y, qn->scaling);CHKERRQ(ierr); 266 } 267 if (qn->singlereduction) { 268 ierr = VecMDot(Y,l,dF,YtdX);CHKERRQ(ierr); 269 } 270 /* inward recursion starting at the first update and working forward */ 271 for (i = 0; i < l; i++) { 272 k = (it + i - l) % l; 273 if (qn->singlereduction) { 274 t = YtdX[k]; 275 for (j = 0; j < i; j++) { 276 g = (it + j - l) % l; 277 t += (alpha[g] - beta[g])*H(k, g); 278 } 279 beta[k] = t / H(k, k); 280 } else { 281 ierr = VecDot(dF[k], Y, &t);CHKERRQ(ierr); 282 beta[k] = t / dXtdF[k]; 283 } 284 ierr = VecAXPY(Y, (alpha[k] - beta[k]), dX[k]);CHKERRQ(ierr); 285 if (qn->monitor) { 286 ierr = PetscViewerASCIIAddTab(qn->monitor,((PetscObject)snes)->tablevel+2);CHKERRQ(ierr); 287 ierr = PetscViewerASCIIPrintf(qn->monitor, "it: %d k: %d alpha - beta: %14.12e\n", it, k, PetscRealPart(alpha[k] - beta[k]));CHKERRQ(ierr); 288 ierr = PetscViewerASCIISubtractTab(qn->monitor,((PetscObject)snes)->tablevel+2);CHKERRQ(ierr); 289 } 290 } 291 PetscFunctionReturn(0); 292 } 293 294 #undef __FUNCT__ 295 #define __FUNCT__ "SNESSolve_QN" 296 static PetscErrorCode SNESSolve_QN(SNES snes) 297 { 298 PetscErrorCode ierr; 299 SNES_QN *qn = (SNES_QN*) snes->data; 300 Vec X,Xold; 301 Vec F; 302 Vec Y,D,Dold; 303 PetscInt i, i_r; 304 PetscReal fnorm,xnorm,ynorm,gnorm; 305 PetscBool lssucceed,powell,periodic; 306 PetscScalar DolddotD,DolddotDold,DdotD,YdotD; 307 MatStructure flg = DIFFERENT_NONZERO_PATTERN; 308 SNESConvergedReason reason; 309 310 /* basically just a regular newton's method except for the application of the jacobian */ 311 312 PetscFunctionBegin; 313 F = snes->vec_func; /* residual vector */ 314 Y = snes->vec_sol_update; /* search direction generated by J^-1D*/ 315 316 X = snes->vec_sol; /* solution vector */ 317 Xold = snes->work[0]; 318 319 /* directions generated by the preconditioned problem with F_pre = F or x - M(x, b) */ 320 D = snes->work[1]; 321 Dold = snes->work[2]; 322 323 snes->reason = SNES_CONVERGED_ITERATING; 324 325 ierr = PetscObjectAMSTakeAccess((PetscObject)snes);CHKERRQ(ierr); 326 snes->iter = 0; 327 snes->norm = 0.; 328 ierr = PetscObjectAMSGrantAccess((PetscObject)snes);CHKERRQ(ierr); 329 330 if (snes->pc && snes->pcside == PC_LEFT && snes->functype == SNES_FUNCTION_PRECONDITIONED) { 331 ierr = SNESApplyPC(snes,X,NULL,NULL,F);CHKERRQ(ierr); 332 ierr = SNESGetConvergedReason(snes->pc,&reason);CHKERRQ(ierr); 333 if (reason < 0 && reason != SNES_DIVERGED_MAX_IT) { 334 snes->reason = SNES_DIVERGED_INNER; 335 PetscFunctionReturn(0); 336 } 337 ierr = VecNorm(F,NORM_2,&fnorm);CHKERRQ(ierr); 338 } else { 339 if (!snes->vec_func_init_set) { 340 ierr = SNESComputeFunction(snes,X,F);CHKERRQ(ierr); 341 if (snes->domainerror) { 342 snes->reason = SNES_DIVERGED_FUNCTION_DOMAIN; 343 PetscFunctionReturn(0); 344 } 345 } else snes->vec_func_init_set = PETSC_FALSE; 346 if (!snes->norm_init_set) { 347 /* convergence test */ 348 ierr = VecNorm(F,NORM_2,&fnorm);CHKERRQ(ierr); 349 if (PetscIsInfOrNanReal(fnorm)) { 350 snes->reason = SNES_DIVERGED_FNORM_NAN; 351 PetscFunctionReturn(0); 352 } 353 } else { 354 fnorm = snes->norm_init; 355 snes->norm_init_set = PETSC_FALSE; 356 } 357 } 358 if (snes->pc && snes->pcside == PC_LEFT && snes->functype == SNES_FUNCTION_UNPRECONDITIONED) { 359 ierr = SNESApplyPC(snes,X,F,&fnorm,D);CHKERRQ(ierr); 360 ierr = SNESGetConvergedReason(snes->pc,&reason);CHKERRQ(ierr); 361 if (reason < 0 && reason != SNES_DIVERGED_MAX_IT) { 362 snes->reason = SNES_DIVERGED_INNER; 363 PetscFunctionReturn(0); 364 } 365 } else { 366 ierr = VecCopy(F,D);CHKERRQ(ierr); 367 } 368 369 ierr = PetscObjectAMSTakeAccess((PetscObject)snes);CHKERRQ(ierr); 370 snes->norm = fnorm; 371 ierr = PetscObjectAMSGrantAccess((PetscObject)snes);CHKERRQ(ierr); 372 ierr = SNESLogConvergenceHistory(snes,fnorm,0);CHKERRQ(ierr); 373 ierr = SNESMonitor(snes,0,fnorm);CHKERRQ(ierr); 374 375 /* set parameter for default relative tolerance convergence test */ 376 snes->ttol = fnorm*snes->rtol; 377 /* test convergence */ 378 ierr = (*snes->ops->converged)(snes,0,0.0,0.0,fnorm,&snes->reason,snes->cnvP);CHKERRQ(ierr); 379 if (snes->reason) PetscFunctionReturn(0); 380 381 if (snes->pc && snes->pcside == PC_RIGHT) { 382 ierr = PetscLogEventBegin(SNES_NPCSolve,snes->pc,X,0,0);CHKERRQ(ierr); 383 ierr = SNESSolve(snes->pc,snes->vec_rhs,X);CHKERRQ(ierr); 384 ierr = PetscLogEventEnd(SNES_NPCSolve,snes->pc,X,0,0);CHKERRQ(ierr); 385 ierr = SNESGetConvergedReason(snes->pc,&reason);CHKERRQ(ierr); 386 if (reason < 0 && reason != SNES_DIVERGED_MAX_IT) { 387 snes->reason = SNES_DIVERGED_INNER; 388 PetscFunctionReturn(0); 389 } 390 ierr = SNESGetPCFunction(snes,F,&fnorm);CHKERRQ(ierr); 391 ierr = VecCopy(F,D);CHKERRQ(ierr); 392 } 393 394 /* scale the initial update */ 395 if (qn->scale_type == SNES_QN_SCALE_JACOBIAN) { 396 ierr = SNESComputeJacobian(snes,X,&snes->jacobian,&snes->jacobian_pre,&flg);CHKERRQ(ierr); 397 ierr = KSPSetOperators(snes->ksp,snes->jacobian,snes->jacobian_pre,flg);CHKERRQ(ierr); 398 } 399 400 for (i = 0, i_r = 0; i < snes->max_its; i++, i_r++) { 401 switch (qn->type) { 402 case SNES_QN_BADBROYDEN: 403 ierr = SNESQNApply_BadBroyden(snes,i_r,Y,X,Xold,D,Dold);CHKERRQ(ierr); 404 break; 405 case SNES_QN_BROYDEN: 406 ierr = SNESQNApply_Broyden(snes,i_r,Y,X,Xold,D,Dold);CHKERRQ(ierr); 407 break; 408 case SNES_QN_LBFGS: 409 SNESQNApply_LBFGS(snes,i_r,Y,X,Xold,D,Dold);CHKERRQ(ierr); 410 break; 411 } 412 /* line search for lambda */ 413 ynorm = 1; gnorm = fnorm; 414 ierr = VecCopy(D, Dold);CHKERRQ(ierr); 415 ierr = VecCopy(X, Xold);CHKERRQ(ierr); 416 ierr = SNESLineSearchApply(snes->linesearch, X, F, &fnorm, Y);CHKERRQ(ierr); 417 if (snes->reason == SNES_DIVERGED_FUNCTION_COUNT) break; 418 if (snes->domainerror) { 419 snes->reason = SNES_DIVERGED_FUNCTION_DOMAIN; 420 PetscFunctionReturn(0); 421 } 422 ierr = SNESLineSearchGetSuccess(snes->linesearch, &lssucceed);CHKERRQ(ierr); 423 if (!lssucceed) { 424 if (++snes->numFailures >= snes->maxFailures) { 425 snes->reason = SNES_DIVERGED_LINE_SEARCH; 426 break; 427 } 428 } 429 ierr = SNESLineSearchGetNorms(snes->linesearch, &xnorm, &fnorm, &ynorm);CHKERRQ(ierr); 430 if (qn->scale_type == SNES_QN_SCALE_LINESEARCH) { 431 ierr = SNESLineSearchGetLambda(snes->linesearch, &qn->scaling);CHKERRQ(ierr); 432 } 433 434 /* convergence monitoring */ 435 ierr = PetscInfo4(snes,"fnorm=%18.16e, gnorm=%18.16e, ynorm=%18.16e, lssucceed=%d\n",(double)fnorm,(double)gnorm,(double)ynorm,(int)lssucceed);CHKERRQ(ierr); 436 437 if (snes->pc && snes->pcside == PC_RIGHT) { 438 ierr = PetscLogEventBegin(SNES_NPCSolve,snes->pc,X,0,0);CHKERRQ(ierr); 439 ierr = SNESSolve(snes->pc,snes->vec_rhs,X);CHKERRQ(ierr); 440 ierr = PetscLogEventEnd(SNES_NPCSolve,snes->pc,X,0,0);CHKERRQ(ierr); 441 ierr = SNESGetConvergedReason(snes->pc,&reason);CHKERRQ(ierr); 442 if (reason < 0 && reason != SNES_DIVERGED_MAX_IT) { 443 snes->reason = SNES_DIVERGED_INNER; 444 PetscFunctionReturn(0); 445 } 446 ierr = SNESGetPCFunction(snes,F,&fnorm);CHKERRQ(ierr); 447 } 448 449 ierr = SNESSetIterationNumber(snes, i+1);CHKERRQ(ierr); 450 ierr = SNESSetFunctionNorm(snes, fnorm);CHKERRQ(ierr); 451 452 ierr = SNESLogConvergenceHistory(snes,snes->norm,snes->iter);CHKERRQ(ierr); 453 ierr = SNESMonitor(snes,snes->iter,snes->norm);CHKERRQ(ierr); 454 /* set parameter for default relative tolerance convergence test */ 455 ierr = (*snes->ops->converged)(snes,snes->iter,xnorm,ynorm,fnorm,&snes->reason,snes->cnvP);CHKERRQ(ierr); 456 if (snes->reason) PetscFunctionReturn(0); 457 if (snes->pc && snes->pcside == PC_LEFT && snes->functype == SNES_FUNCTION_UNPRECONDITIONED) { 458 ierr = SNESApplyPC(snes,X,F,&fnorm,D);CHKERRQ(ierr); 459 ierr = SNESGetConvergedReason(snes->pc,&reason);CHKERRQ(ierr); 460 if (reason < 0 && reason != SNES_DIVERGED_MAX_IT) { 461 snes->reason = SNES_DIVERGED_INNER; 462 PetscFunctionReturn(0); 463 } 464 } else { 465 ierr = VecCopy(F, D);CHKERRQ(ierr); 466 } 467 468 powell = PETSC_FALSE; 469 if (qn->restart_type == SNES_QN_RESTART_POWELL) { 470 /* check restart by Powell's Criterion: |F^T H_0 Fold| > 0.2 * |Fold^T H_0 Fold| */ 471 ierr = VecDotBegin(Dold, Dold, &DolddotDold);CHKERRQ(ierr); 472 ierr = VecDotBegin(Dold, D, &DolddotD);CHKERRQ(ierr); 473 ierr = VecDotBegin(D, D, &DdotD);CHKERRQ(ierr); 474 ierr = VecDotBegin(Y, D, &YdotD);CHKERRQ(ierr); 475 ierr = VecDotEnd(Dold, Dold, &DolddotDold);CHKERRQ(ierr); 476 ierr = VecDotEnd(Dold, D, &DolddotD);CHKERRQ(ierr); 477 ierr = VecDotEnd(D, D, &DdotD);CHKERRQ(ierr); 478 ierr = VecDotEnd(Y, D, &YdotD);CHKERRQ(ierr); 479 if (PetscAbs(PetscRealPart(DolddotD)) > qn->powell_gamma*PetscAbs(PetscRealPart(DolddotDold))) powell = PETSC_TRUE; 480 } 481 periodic = PETSC_FALSE; 482 if (qn->restart_type == SNES_QN_RESTART_PERIODIC) { 483 if (i_r>qn->m-1) periodic = PETSC_TRUE; 484 } 485 /* restart if either powell or periodic restart is satisfied. */ 486 if (powell || periodic) { 487 if (qn->monitor) { 488 ierr = PetscViewerASCIIAddTab(qn->monitor,((PetscObject)snes)->tablevel+2);CHKERRQ(ierr); 489 ierr = PetscViewerASCIIPrintf(qn->monitor, "restart! |%14.12e| > %4.2f*|%14.12e| or i_r = %d\n", PetscRealPart(DolddotD), qn->powell_gamma, PetscRealPart(DolddotDold), i_r);CHKERRQ(ierr); 490 ierr = PetscViewerASCIISubtractTab(qn->monitor,((PetscObject)snes)->tablevel+2);CHKERRQ(ierr); 491 } 492 i_r = -1; 493 /* general purpose update */ 494 if (snes->ops->update) { 495 ierr = (*snes->ops->update)(snes, snes->iter);CHKERRQ(ierr); 496 } 497 if (qn->scale_type == SNES_QN_SCALE_JACOBIAN) { 498 ierr = SNESComputeJacobian(snes,X,&snes->jacobian,&snes->jacobian_pre,&flg);CHKERRQ(ierr); 499 ierr = KSPSetOperators(snes->ksp,snes->jacobian,snes->jacobian_pre,flg);CHKERRQ(ierr); 500 } 501 } 502 /* general purpose update */ 503 if (snes->ops->update) { 504 ierr = (*snes->ops->update)(snes, snes->iter);CHKERRQ(ierr); 505 } 506 } 507 if (i == snes->max_its) { 508 ierr = PetscInfo1(snes, "Maximum number of iterations has been reached: %D\n", snes->max_its);CHKERRQ(ierr); 509 if (!snes->reason) snes->reason = SNES_DIVERGED_MAX_IT; 510 } 511 PetscFunctionReturn(0); 512 } 513 514 #undef __FUNCT__ 515 #define __FUNCT__ "SNESSetUp_QN" 516 static PetscErrorCode SNESSetUp_QN(SNES snes) 517 { 518 SNES_QN *qn = (SNES_QN*)snes->data; 519 PetscErrorCode ierr; 520 521 PetscFunctionBegin; 522 ierr = VecDuplicateVecs(snes->vec_sol, qn->m, &qn->U);CHKERRQ(ierr); 523 ierr = VecDuplicateVecs(snes->vec_sol, qn->m, &qn->V);CHKERRQ(ierr); 524 ierr = PetscMalloc3(qn->m, PetscScalar, &qn->alpha, 525 qn->m, PetscScalar, &qn->beta, 526 qn->m, PetscScalar, &qn->dXtdF);CHKERRQ(ierr); 527 528 if (qn->singlereduction) { 529 ierr = PetscMalloc3(qn->m*qn->m, PetscScalar, &qn->dXdFmat, 530 qn->m, PetscScalar, &qn->dFtdX, 531 qn->m, PetscScalar, &qn->YtdX);CHKERRQ(ierr); 532 } 533 ierr = SNESSetWorkVecs(snes,4);CHKERRQ(ierr); 534 535 /* set up the line search */ 536 if (qn->scale_type == SNES_QN_SCALE_JACOBIAN) { 537 ierr = SNESSetUpMatrices(snes);CHKERRQ(ierr); 538 } 539 PetscFunctionReturn(0); 540 } 541 542 #undef __FUNCT__ 543 #define __FUNCT__ "SNESReset_QN" 544 static PetscErrorCode SNESReset_QN(SNES snes) 545 { 546 PetscErrorCode ierr; 547 SNES_QN *qn; 548 549 PetscFunctionBegin; 550 if (snes->data) { 551 qn = (SNES_QN*)snes->data; 552 if (qn->U) { 553 ierr = VecDestroyVecs(qn->m, &qn->U);CHKERRQ(ierr); 554 } 555 if (qn->V) { 556 ierr = VecDestroyVecs(qn->m, &qn->V);CHKERRQ(ierr); 557 } 558 if (qn->singlereduction) { 559 ierr = PetscFree3(qn->dXdFmat, qn->dFtdX, qn->YtdX);CHKERRQ(ierr); 560 } 561 ierr = PetscFree3(qn->alpha, qn->beta, qn->dXtdF);CHKERRQ(ierr); 562 } 563 PetscFunctionReturn(0); 564 } 565 566 #undef __FUNCT__ 567 #define __FUNCT__ "SNESDestroy_QN" 568 static PetscErrorCode SNESDestroy_QN(SNES snes) 569 { 570 PetscErrorCode ierr; 571 572 PetscFunctionBegin; 573 ierr = SNESReset_QN(snes);CHKERRQ(ierr); 574 ierr = PetscFree(snes->data);CHKERRQ(ierr); 575 ierr = PetscObjectComposeFunction((PetscObject)snes,"",NULL);CHKERRQ(ierr); 576 PetscFunctionReturn(0); 577 } 578 579 #undef __FUNCT__ 580 #define __FUNCT__ "SNESSetFromOptions_QN" 581 static PetscErrorCode SNESSetFromOptions_QN(SNES snes) 582 { 583 584 PetscErrorCode ierr; 585 SNES_QN *qn = (SNES_QN*)snes->data; 586 PetscBool monflg = PETSC_FALSE,flg; 587 SNESLineSearch linesearch; 588 SNESQNRestartType rtype = qn->restart_type; 589 SNESQNScaleType stype = qn->scale_type; 590 591 PetscFunctionBegin; 592 ierr = PetscOptionsHead("SNES QN options");CHKERRQ(ierr); 593 ierr = PetscOptionsInt("-snes_qn_m","Number of past states saved for L-BFGS methods","SNESQN",qn->m,&qn->m,NULL);CHKERRQ(ierr); 594 ierr = PetscOptionsReal("-snes_qn_powell_gamma","Powell angle tolerance", "SNESQN", qn->powell_gamma, &qn->powell_gamma, NULL);CHKERRQ(ierr); 595 ierr = PetscOptionsReal("-snes_qn_powell_downhill","Powell descent tolerance", "SNESQN", qn->powell_downhill, &qn->powell_downhill, NULL);CHKERRQ(ierr); 596 ierr = PetscOptionsBool("-snes_qn_monitor", "Monitor for the QN methods", "SNESQN", monflg, &monflg, NULL);CHKERRQ(ierr); 597 ierr = PetscOptionsBool("-snes_qn_single_reduction", "Aggregate reductions", "SNESQN", qn->singlereduction, &qn->singlereduction, NULL);CHKERRQ(ierr); 598 ierr = PetscOptionsEnum("-snes_qn_scale_type","Scaling type","SNESQNSetScaleType",SNESQNScaleTypes,(PetscEnum)stype,(PetscEnum*)&stype,&flg);CHKERRQ(ierr); 599 if (flg) ierr = SNESQNSetScaleType(snes,stype);CHKERRQ(ierr); 600 601 ierr = PetscOptionsEnum("-snes_qn_restart_type","Restart type","SNESQNSetRestartType",SNESQNRestartTypes,(PetscEnum)rtype,(PetscEnum*)&rtype,&flg);CHKERRQ(ierr); 602 if (flg) ierr = SNESQNSetRestartType(snes,rtype);CHKERRQ(ierr); 603 604 ierr = PetscOptionsEnum("-snes_qn_type","Quasi-Newton update type","",SNESQNTypes, 605 (PetscEnum)qn->type,(PetscEnum*)&qn->type,NULL);CHKERRQ(ierr); 606 ierr = PetscOptionsTail();CHKERRQ(ierr); 607 if (!snes->linesearch) { 608 ierr = SNESGetLineSearch(snes, &linesearch);CHKERRQ(ierr); 609 ierr = SNESLineSearchSetType(linesearch, SNESLINESEARCHCP);CHKERRQ(ierr); 610 } 611 if (monflg) { 612 qn->monitor = PETSC_VIEWER_STDOUT_(PetscObjectComm((PetscObject)snes));CHKERRQ(ierr); 613 } 614 PetscFunctionReturn(0); 615 } 616 617 618 #undef __FUNCT__ 619 #define __FUNCT__ "SNESQNSetRestartType" 620 /*@ 621 SNESQNSetRestartType - Sets the restart type for SNESQN. 622 623 Logically Collective on SNES 624 625 Input Parameters: 626 + snes - the iterative context 627 - rtype - restart type 628 629 Options Database: 630 + -snes_qn_restart_type<powell,periodic,none> - set the restart type 631 - -snes_qn_restart[10] - sets the number of iterations before restart for periodic 632 633 Level: intermediate 634 635 SNESQNRestartTypes: 636 + SNES_QN_RESTART_NONE - never restart 637 . SNES_QN_RESTART_POWELL - restart based upon descent criteria 638 - SNES_QN_RESTART_PERIODIC - restart after a fixed number of iterations 639 640 Notes: 641 The default line search used is the L2 line search and it requires two additional function evaluations. 642 643 .keywords: SNES, SNESQN, restart, type, set SNESLineSearch 644 @*/ 645 PetscErrorCode SNESQNSetRestartType(SNES snes, SNESQNRestartType rtype) 646 { 647 PetscErrorCode ierr; 648 649 PetscFunctionBegin; 650 PetscValidHeaderSpecific(snes,SNES_CLASSID,1); 651 ierr = PetscTryMethod(snes,"SNESQNSetRestartType_C",(SNES,SNESQNRestartType),(snes,rtype));CHKERRQ(ierr); 652 PetscFunctionReturn(0); 653 } 654 655 #undef __FUNCT__ 656 #define __FUNCT__ "SNESQNSetScaleType" 657 /*@ 658 SNESQNSetScaleType - Sets the scaling type for the inner inverse jacobian in SNESQN. 659 660 Logically Collective on SNES 661 662 Input Parameters: 663 + snes - the iterative context 664 - stype - scale type 665 666 Options Database: 667 . -snes_qn_scale_type<shanno,none,linesearch,jacobian> 668 669 Level: intermediate 670 671 SNESQNSelectTypes: 672 + SNES_QN_SCALE_NONE - don't scale the problem 673 . SNES_QN_SCALE_SHANNO - use shanno scaling 674 . SNES_QN_SCALE_LINESEARCH - scale based upon line search lambda 675 - SNES_QN_SCALE_JACOBIAN - scale by inverting a previously computed Jacobian. 676 677 .keywords: SNES, SNESQN, scaling, type, set SNESLineSearch 678 @*/ 679 680 PetscErrorCode SNESQNSetScaleType(SNES snes, SNESQNScaleType stype) 681 { 682 PetscErrorCode ierr; 683 684 PetscFunctionBegin; 685 PetscValidHeaderSpecific(snes,SNES_CLASSID,1); 686 ierr = PetscTryMethod(snes,"SNESQNSetScaleType_C",(SNES,SNESQNScaleType),(snes,stype));CHKERRQ(ierr); 687 PetscFunctionReturn(0); 688 } 689 690 #undef __FUNCT__ 691 #define __FUNCT__ "SNESQNSetScaleType_QN" 692 PetscErrorCode SNESQNSetScaleType_QN(SNES snes, SNESQNScaleType stype) 693 { 694 SNES_QN *qn = (SNES_QN*)snes->data; 695 696 PetscFunctionBegin; 697 qn->scale_type = stype; 698 PetscFunctionReturn(0); 699 } 700 701 #undef __FUNCT__ 702 #define __FUNCT__ "SNESQNSetRestartType_QN" 703 PetscErrorCode SNESQNSetRestartType_QN(SNES snes, SNESQNRestartType rtype) 704 { 705 SNES_QN *qn = (SNES_QN*)snes->data; 706 707 PetscFunctionBegin; 708 qn->restart_type = rtype; 709 PetscFunctionReturn(0); 710 } 711 712 /* -------------------------------------------------------------------------- */ 713 /*MC 714 SNESQN - Limited-Memory Quasi-Newton methods for the solution of nonlinear systems. 715 716 Options Database: 717 718 + -snes_qn_m - Number of past states saved for the L-Broyden methods. 719 . -snes_qn_powell_angle - Angle condition for restart. 720 . -snes_qn_powell_descent - Descent condition for restart. 721 . -snes_linesearch_type <cp, l2, basic> - Type of line search. 722 - -snes_qn_monitor - Monitors the quasi-newton jacobian. 723 724 Notes: This implements the L-BFGS, Broyden, and "Bad" Broyden algorithms for the solution of F(x) = b using 725 previous change in F(x) and x to form the approximate inverse Jacobian using a series of multiplicative rank-one 726 updates. 727 728 When using a nonlinear preconditioner, one has two options as to how the preconditioner is applied. The first of 729 these options, sequential, uses the preconditioner to generate a new solution and function and uses those at this 730 iteration as the current iteration's values when constructing the approximate jacobian. The second, composed, 731 perturbs the problem the jacobian represents to be P(x, b) - x = 0, where P(x, b) is the preconditioner. 732 733 References: 734 735 L-Broyden Methods: a generalization of the L-BFGS method to the limited memory Broyden family, M. B. Reed, 736 International Journal of Computer Mathematics, vol. 86, 2009. 737 738 Experiments with Quasi-Newton Methods in Solving Stiff ODE Systems, Peter N. Brown, Alan C. Hindmarsh, Homer F. Walker 739 SIAM J. Sci. Stat. Comput. Vol 6(2), April 1985. 740 741 742 Level: beginner 743 744 .seealso: SNESCreate(), SNES, SNESSetType(), SNESNEWTONLS, SNESNEWTONTR 745 746 M*/ 747 #undef __FUNCT__ 748 #define __FUNCT__ "SNESCreate_QN" 749 PETSC_EXTERN PetscErrorCode SNESCreate_QN(SNES snes) 750 { 751 PetscErrorCode ierr; 752 SNES_QN *qn; 753 754 PetscFunctionBegin; 755 snes->ops->setup = SNESSetUp_QN; 756 snes->ops->solve = SNESSolve_QN; 757 snes->ops->destroy = SNESDestroy_QN; 758 snes->ops->setfromoptions = SNESSetFromOptions_QN; 759 snes->ops->view = 0; 760 snes->ops->reset = SNESReset_QN; 761 762 snes->pcside = PC_LEFT; 763 snes->functype = SNES_FUNCTION_PRECONDITIONED; 764 765 snes->usespc = PETSC_TRUE; 766 snes->usesksp = PETSC_FALSE; 767 768 if (!snes->tolerancesset) { 769 snes->max_funcs = 30000; 770 snes->max_its = 10000; 771 } 772 773 ierr = PetscNewLog(snes,SNES_QN,&qn);CHKERRQ(ierr); 774 snes->data = (void*) qn; 775 qn->m = 10; 776 qn->scaling = 1.0; 777 qn->U = NULL; 778 qn->V = NULL; 779 qn->dXtdF = NULL; 780 qn->dFtdX = NULL; 781 qn->dXdFmat = NULL; 782 qn->monitor = NULL; 783 qn->singlereduction = PETSC_FALSE; 784 qn->powell_gamma = 0.9999; 785 qn->scale_type = SNES_QN_SCALE_SHANNO; 786 qn->restart_type = SNES_QN_RESTART_POWELL; 787 qn->type = SNES_QN_LBFGS; 788 789 ierr = PetscObjectComposeFunction((PetscObject)snes,"SNESQNSetScaleType_C",SNESQNSetScaleType_QN);CHKERRQ(ierr); 790 ierr = PetscObjectComposeFunction((PetscObject)snes,"SNESQNSetRestartType_C",SNESQNSetRestartType_QN);CHKERRQ(ierr); 791 PetscFunctionReturn(0); 792 } 793