xref: /petsc/src/snes/impls/qn/qn.c (revision 5f6043d5da72d92b41ec08b2b15c6a2e06a35385)
1 
2 #include <private/snesimpl.h>
3 
4 typedef struct {
5   PetscScalar lambda;   /* The default step length for the update */
6   Vec * dX;  /* The change in X */
7   Vec * dF;  /* The change in F */
8   PetscInt m;     /* the number of kept previous steps */
9 } QNContext;
10 
11 #undef __FUNCT__
12 #define __FUNCT__ "LBGFSApplyJinv_Private"
13 PetscErrorCode LBGFSApplyJinv_Private(SNES snes, PetscInt it, Vec g, Vec z) {
14 
15   PetscErrorCode ierr;
16 
17   QNContext * qn = (QNContext *)snes->data;
18 
19   Vec * dX = qn->dX;
20   Vec * dF = qn->dF;
21 
22   PetscInt k, i;
23   PetscInt m = qn->m;
24   PetscScalar * alpha = PETSC_NULL;
25   PetscScalar * beta = PETSC_NULL;
26   PetscScalar * rho = PETSC_NULL;
27   PetscScalar t;
28   PetscInt l = m;
29 
30   PetscFunctionBegin;
31 
32   if (it < m) l = it+1;
33   ierr = PetscMalloc3(m, PetscScalar, &alpha, m, PetscScalar, &beta, m, PetscScalar, &rho);CHKERRQ(ierr);
34 
35   /* precalculate alpha, beta, rho corresponding to the normal indices*/
36   for (i = 0; i < l; i++) {
37     ierr = VecDot(dX[i], dF[i], &t);CHKERRQ(ierr);
38     rho[i] = 1. / t;
39     beta[i] = 0;
40     alpha[i] = 0;
41   }
42 
43   ierr = VecCopy(g, z);CHKERRQ(ierr);
44 
45   /* outward recursion starting at iteration k's update and working back */
46   for (i = 0; i < l; i++) {
47     k = (it - i) % m;
48     ierr = VecDot(dX[k], z, &t);CHKERRQ(ierr);
49     alpha[k] = t / rho[k];
50     ierr = PetscPrintf(PETSC_COMM_WORLD, " %d: %e ", k, -alpha[k]);CHKERRQ(ierr);
51     ierr = VecAXPY(z, -alpha[k], dF[k]);CHKERRQ(ierr);
52   }
53 
54   /* inner application of the initial inverse jacobian approximation */
55   /* right now it's just the identity. Nothing needs to go here. */
56 
57   /* inward recursion starting at the first update and working forward*/
58   for (i = l - 1; i >= 0; i--) {
59     k = (it - i) % m;
60     ierr = VecDot(dF[k], z, &t);CHKERRQ(ierr);
61     beta[k] = rho[k]*t;
62     ierr = PetscPrintf(PETSC_COMM_WORLD, " %d: %e %e", k, alpha[k] - beta[k], rho[k]);CHKERRQ(ierr);
63     ierr = VecAXPY(z, (alpha[k] - beta[k]), dX[k]);
64   }
65   ierr = PetscPrintf(PETSC_COMM_WORLD, "\n", k);CHKERRQ(ierr);
66   ierr = PetscFree3(alpha, beta, rho);CHKERRQ(ierr);
67 
68   PetscFunctionReturn(0);
69 }
70 
71 #undef __FUNCT__
72 #define __FUNCT__ "SNESSolve_QN"
73 static PetscErrorCode SNESSolve_QN(SNES snes)
74 {
75 
76   PetscErrorCode ierr;
77   QNContext * qn = (QNContext*) snes->data;
78 
79   Vec x;
80   Vec f;
81   Vec p, pold;
82 
83   PetscInt i, j, k, l;
84 
85   PetscReal fnorm;
86   PetscScalar gdot;
87   PetscInt m = qn->m;
88 
89   Vec * W = qn->dX;
90   Vec * V = qn->dF;
91 
92   /* basically just a regular newton's method except for the application of the jacobian */
93   PetscFunctionBegin;
94 
95   x = snes->vec_sol;
96   f = snes->vec_func;
97   p = snes->vec_sol_update;
98   pold = snes->work[0];
99 
100   snes->reason = SNES_CONVERGED_ITERATING;
101 
102   ierr = PetscObjectTakeAccess(snes);CHKERRQ(ierr);
103   snes->iter = 0;
104   snes->norm = 0.;
105   ierr = PetscObjectGrantAccess(snes);CHKERRQ(ierr);
106   ierr = SNESComputeFunction(snes,x,f);CHKERRQ(ierr);
107   if (snes->domainerror) {
108     snes->reason = SNES_DIVERGED_FUNCTION_DOMAIN;
109     PetscFunctionReturn(0);
110   }
111   ierr = VecNorm(f, NORM_2, &fnorm);CHKERRQ(ierr); /* fnorm <- ||F||  */
112   if (PetscIsInfOrNanReal(fnorm)) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_FP,"Infinite or not-a-number generated in norm");
113   ierr = PetscObjectTakeAccess(snes);CHKERRQ(ierr);
114   snes->norm = fnorm;
115   ierr = PetscObjectGrantAccess(snes);CHKERRQ(ierr);
116   SNESLogConvHistory(snes,fnorm,0);
117   ierr = SNESMonitor(snes,0,fnorm);CHKERRQ(ierr);
118 
119   /* set parameter for default relative tolerance convergence test */
120   snes->ttol = fnorm*snes->rtol;
121   /* test convergence */
122   ierr = (*snes->ops->converged)(snes,0,0.0,0.0,fnorm,&snes->reason,snes->cnvP);CHKERRQ(ierr);
123   if (snes->reason) PetscFunctionReturn(0);
124   ierr = VecCopy(f, pold);CHKERRQ(ierr);
125   ierr = VecAXPY(x, -1.0, pold);CHKERRQ(ierr);
126   for(i = 0; i < snes->max_its; i++) {
127 
128     ierr = SNESComputeFunction(snes, x, f);CHKERRQ(ierr);
129     ierr = VecNorm(f, NORM_2, &fnorm);CHKERRQ(ierr);
130     if (PetscIsInfOrNanReal(fnorm)) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_FP,"Infinite or not-a-number generated in norm");
131     ierr = PetscObjectTakeAccess(snes);CHKERRQ(ierr);
132     snes->norm = fnorm;
133     ierr = PetscObjectGrantAccess(snes);CHKERRQ(ierr);
134     SNESLogConvHistory(snes,fnorm,i+1);
135     ierr = SNESMonitor(snes,i+1,fnorm);CHKERRQ(ierr);
136 
137     /* set parameter for default relative tolerance convergence test */
138     snes->ttol = fnorm*snes->rtol;
139     /* test convergence */
140     ierr = (*snes->ops->converged)(snes,i+1,0.0,0.0,fnorm,&snes->reason,snes->cnvP);CHKERRQ(ierr);
141     if (snes->reason) PetscFunctionReturn(0);
142     k = (i) % m;
143     l = m;
144     if (i < l) l = i;
145     ierr = VecCopy(f, p);CHKERRQ(ierr);
146     for (j=0; j<k; j++) {                                     /* p = product_{j<i} [I+v(j)w(j)^T]*p */
147       ierr = VecDot(W[j],p,&gdot);CHKERRQ(ierr);
148       ierr = VecAXPY(p,gdot,V[j]);CHKERRQ(ierr);
149     }
150     ierr = VecCopy(pold,W[k]);CHKERRQ(ierr);                  /* w[i] = pold   */
151     ierr = VecAXPY(pold,-1.0,p);CHKERRQ(ierr);                /* v[i] =         p         */
152     ierr = VecDot(W[k],pold,&gdot);CHKERRQ(ierr);             /*        ----------------- */
153     ierr = VecCopy(p,V[k]);CHKERRQ(ierr);                     /*         w[i]'*(Pold - p) */
154     ierr = VecScale(V[k],1.0/gdot);CHKERRQ(ierr);
155 
156     ierr = VecDot(W[k],p,&gdot);CHKERRQ(ierr);                /* p = (I + v[i]*w[i]')*p   */
157     ierr = VecAXPY(p,gdot,V[k]);CHKERRQ(ierr);
158     ierr = VecCopy(p,pold);CHKERRQ(ierr);
159 
160     ierr = PetscPrintf(PETSC_COMM_WORLD, "Setting %d\n", k);CHKERRQ(ierr);
161     ierr = VecAXPY(x, -1.0, p);CHKERRQ(ierr);
162   }
163   if (i == snes->max_its) {
164     ierr = PetscInfo1(snes, "Maximum number of iterations has been reached: %D\n", snes->max_its);CHKERRQ(ierr);
165     if (!snes->reason) snes->reason = SNES_DIVERGED_MAX_IT;
166   }
167   PetscFunctionReturn(0);
168 }
169 
170 
171 #undef __FUNCT__
172 #define __FUNCT__ "SNESSetUp_QN"
173 static PetscErrorCode SNESSetUp_QN(SNES snes)
174 {
175   QNContext * qn = (QNContext *)snes->data;
176   PetscErrorCode ierr;
177   PetscFunctionBegin;
178   ierr = VecDuplicateVecs(snes->vec_sol, qn->m, &qn->dX);CHKERRQ(ierr);
179   ierr = VecDuplicateVecs(snes->vec_sol, qn->m, &qn->dF);CHKERRQ(ierr);
180   ierr = SNESDefaultGetWork(snes,1);CHKERRQ(ierr);
181   PetscFunctionReturn(0);
182 }
183 
184 #undef __FUNCT__
185 #define __FUNCT__ "SNESReset_QN"
186 static PetscErrorCode SNESReset_QN(SNES snes)
187 {
188   PetscErrorCode ierr;
189   QNContext * qn;
190   PetscFunctionBegin;
191   if (snes->data) {
192     qn = (QNContext *)snes->data;
193     if (qn->dX) {
194       ierr = VecDestroyVecs(qn->m, &qn->dX);CHKERRQ(ierr);
195     }
196     if (qn->dF) {
197       ierr = VecDestroyVecs(qn->m, &qn->dF);CHKERRQ(ierr);
198     }
199   }
200   if (snes->work) {ierr = VecDestroyVecs(snes->nwork,&snes->work);CHKERRQ(ierr);}
201   PetscFunctionReturn(0);
202 }
203 
204 #undef __FUNCT__
205 #define __FUNCT__ "SNESDestroy_QN"
206 static PetscErrorCode SNESDestroy_QN(SNES snes)
207 {
208   PetscErrorCode ierr;
209   PetscFunctionBegin;
210   ierr = SNESReset_QN(snes);CHKERRQ(ierr);
211   ierr = PetscFree(snes->data);CHKERRQ(ierr);
212   PetscFunctionReturn(0);
213 }
214 
215 #undef __FUNCT__
216 #define __FUNCT__ "SNESSetFromOptions_QN"
217 static PetscErrorCode SNESSetFromOptions_QN(SNES snes)
218 {
219 
220   PetscErrorCode ierr;
221   QNContext * qn;
222 
223   PetscFunctionBegin;
224 
225   qn = (QNContext *)snes->data;
226 
227   ierr = PetscOptionsHead("SNES QN options");CHKERRQ(ierr);
228   ierr = PetscOptionsReal("-snes_qn_lambda", "SOR mixing parameter", "SNES", qn->lambda, &qn->lambda, PETSC_NULL);CHKERRQ(ierr);
229   ierr = PetscOptionsInt("-snes_qn_m", "Number of past states saved for L-Broyden methods", "SNES", qn->m, &qn->m, PETSC_NULL);CHKERRQ(ierr);
230   ierr = PetscOptionsTail();CHKERRQ(ierr);
231   PetscFunctionReturn(0);
232 }
233 
234 /* -------------------------------------------------------------------------- */
235 /*MC
236       SNESQN - Limited-Memory Quasi-Newton methods for the solution of nonlinear systems.
237 
238       Implements a limited-memory "good" Broyden update method.
239 
240    Level: beginner
241 
242 .seealso:  SNESCreate(), SNES, SNESSetType(), SNESLS, SNESTR
243 M*/
244 EXTERN_C_BEGIN
245 #undef __FUNCT__
246 #define __FUNCT__ "SNESCreate_QN"
247 PetscErrorCode  SNESCreate_QN(SNES snes)
248 {
249 
250   PetscErrorCode ierr;
251   QNContext * qn;
252 
253   PetscFunctionBegin;
254   snes->ops->setup           = SNESSetUp_QN;
255   snes->ops->solve           = SNESSolve_QN;
256   snes->ops->destroy         = SNESDestroy_QN;
257   snes->ops->setfromoptions  = SNESSetFromOptions_QN;
258   snes->ops->view            = 0;
259   snes->ops->reset           = SNESReset_QN;
260 
261   ierr = PetscNewLog(snes, QNContext, &qn);CHKERRQ(ierr);
262   snes->data = (void *) qn;
263   qn->m = 10;
264   qn->lambda = 1.;
265   qn->dX = PETSC_NULL;
266   qn->dF = PETSC_NULL;
267   PetscFunctionReturn(0);
268 }
269 EXTERN_C_END
270