xref: /petsc/src/snes/interface/snesut.c (revision 08480c60afa5ef1d2e4e27b9ebdf48b02c6a2186)
1 #ifndef lint
2 static char vcid[] = "$Id: snesut.c,v 1.4 1995/09/30 19:31:04 bsmith Exp bsmith $";
3 #endif
4 
5 #include <math.h>
6 #include "snesimpl.h"       /*I   "snes.h"   I*/
7 
8 /*@C
9    SNESDefaultMonitor - Default SNES monitoring routine.
10 
11    Input Parameters:
12 .  snes - the SNES context
13 .  its - iteration number
14 .  fgnorm - 2-norm of residual (or gradient)
15 .  dummy - unused context
16 
17    Notes:
18    For SNES_NONLINEAR_EQUATIONS methods the routine prints the
19    residual norm at each iteration.
20 
21    For SNES_UNCONSTRAINED_MINIMIZATION methods the routine prints the
22    function value and gradient norm at each iteration.
23 
24 .keywords: SNES, nonlinear, default, monitor, norm
25 
26 .seealso: SNESSetMonitor()
27 @*/
28 int SNESDefaultMonitor(SNES snes,int its,double fgnorm,void *dummy)
29 {
30   if (snes->method_class == SNES_NONLINEAR_EQUATIONS)
31     MPIU_printf(snes->comm, "iter = %d, Function norm %g \n",its,fgnorm);
32   else if (snes->method_class == SNES_UNCONSTRAINED_MINIMIZATION)
33     MPIU_printf(snes->comm,
34      "iter = %d, Function value %g, Gradient norm %g \n",its,snes->fc,fgnorm);
35   else SETERRQ(1,"SNESDefaultMonitor:Unknown method class");
36   return 0;
37 }
38 /* ---------------------------------------------------------------- */
39 int SNESDefaultSMonitor(SNES snes,int its, double fgnorm,void *dummy)
40 {
41   if (snes->method_class == SNES_NONLINEAR_EQUATIONS) {
42     if (fgnorm > 1.e-9 || fgnorm == 0.0) {
43       MPIU_printf(snes->comm, "iter = %d, Function norm %g \n",its,fgnorm);
44     }
45     else if (fgnorm > 1.e-11){
46       MPIU_printf(snes->comm, "iter = %d, Function norm %5.3e \n",its,fgnorm);
47     }
48     else {
49       MPIU_printf(snes->comm, "iter = %d, Function norm < 1.e-11\n",its);
50     }
51   } else if (snes->method_class == SNES_UNCONSTRAINED_MINIMIZATION) {
52     if (fgnorm > 1.e-9 || fgnorm == 0.0) {
53       MPIU_printf(snes->comm,
54        "iter = %d, Function value %g, Gradient norm %g \n",
55        its,snes->fc,fgnorm);
56     }
57     else if (fgnorm > 1.e-11) {
58       MPIU_printf(snes->comm,
59         "iter = %d, Function value %g, Gradient norm %5.3e \n",
60         its,snes->fc,fgnorm);
61     }
62     else {
63       MPIU_printf(snes->comm,
64         "iter = %d, Function value %g, Gradient norm < 1.e-11\n",
65         its,snes->fc);
66     }
67   } else SETERRQ(1,"SNESDefaultSMonitor:Unknown method class");
68   return 0;
69 }
70 /* ---------------------------------------------------------------- */
71 /*@C
72    SNESDefaultConverged - Default test for monitoring the convergence
73    of the solvers for systems of nonlinear equations.
74 
75    Input Parameters:
76 .  snes - the SNES context
77 .  xnorm - 2-norm of current iterate
78 .  pnorm - 2-norm of current step
79 .  fnorm - 2-norm of function
80 .  dummy - unused context
81 
82    Returns:
83 $  2  if  ( fnorm < atol ),
84 $  3  if  ( pnorm < xtol*xnorm ),
85 $ -2  if  ( nfct > maxf ),
86 $  0  otherwise,
87 
88    where
89 $    maxf - maximum number of function evaluations,
90 $           set with SNESSetMaxFunctionEvaluations()
91 $    nfct - number of function evaluations,
92 $    atol - absolute function norm tolerance,
93 $           set with SNESSetAbsoluteTolerance()
94 $    xtol - relative function norm tolerance,
95 $           set with SNESSetRelativeTolerance()
96 
97 .keywords: SNES, nonlinear, default, converged, convergence
98 
99 .seealso: SNESSetConvergenceTest(), SNESEisenstatWalkerConverged()
100 @*/
101 int SNESDefaultConverged(SNES snes,double xnorm,double pnorm,double fnorm,
102                          void *dummy)
103 {
104   if (snes->method_class != SNES_NONLINEAR_EQUATIONS) SETERRQ(1,
105     "SNESDefaultConverged:For SNES_NONLINEAR_EQUATIONS only");
106   /* Note:  Reserve return code 1, -1 for compatibility with
107   SNESTrustRegionDefaultConverged */
108   if (fnorm < snes->atol) {
109     PLogInfo((PetscObject)snes,
110       "SNES: Converged due to function norm %g < %g\n",fnorm,snes->atol);
111     return 2;
112   }
113   if (pnorm < snes->xtol*(xnorm)) {
114     PLogInfo((PetscObject)snes,
115       "SNES: Converged due to small update length: %g < %g * %g\n",
116        pnorm,snes->xtol,xnorm);
117     return 3;
118   }
119   if (snes->nfuncs > snes->max_funcs) {
120     PLogInfo((PetscObject)snes,
121       "SNES: Exceeded maximum number of function evaluations: %d > %d\n",
122       snes->nfuncs, snes->max_funcs );
123     return -2;
124   }
125   return 0;
126 }
127 /* ------------------------------------------------------------ */
128 /*@
129    SNES_KSP_SetConvergenceTestEW - Sets alternative convergence test for
130    for the linear solvers within an inexact Newton method.
131 
132    Input Parameter:
133 .  snes - SNES context
134 
135    Notes:
136    Currently, the default is to use a constant relative tolerance for
137    the inner linear solvers.  Alternatively, one can use the
138    Eisenstat-Walker method, where the relative convergence tolerance
139    is reset at each Newton iteration according progress of the nonlinear
140    solver.
141 
142    Reference:
143    S. C. Eisenstat and H. F. Walker, "Choosing the forcing terms in an
144    inexact Newton method", Utah State University Math. Stat. Dept. Res.
145    Report 6/94/75, June, 1994, to appear in SIAM J. Sci. Comput.
146 
147 .keywords: SNES, KSP, Eisenstat, Walker, convergence, test, inexact, Newton
148 @*/
149 int SNES_KSP_SetConvergenceTestEW(SNES snes)
150 {
151   snes->ksp_ewconv = 1;
152   return 0;
153 }
154 
155 /*@
156    SNES_KSP_SetParametersEW - Sets parameters for Eisenstat-Walker
157    convergence criteria for the linear solvers within an inexact
158    Newton method.
159 
160    Input Parameters:
161 .  snes - SNES context
162 .  version - version 1 or 2 (default is 2)
163 .  rtol_0 - initial relative tolerance
164 $    (0 <= rtol_0 < 1)
165 .  rtol_max - maximum relative tolerance
166 $    (0 <= rtol_max < 1)
167 .  alpha - power for version 2 rtol computation
168 $    (1 < alpha <= 2)
169 .  alpha2 - power for safeguard
170 .  gamma2 - multiplicative factor for version 2 rtol computation
171 $    (0 <= gamma2 <= 1)
172 .  threshold - threshold for imposing safeguard
173 $    (0 < threshold < 1)
174 
175    Note:
176    Use PETSC_DEFAULT to retain the default for any of the parameters.
177 
178    Reference:
179    S. C. Eisenstat and H. F. Walker, "Choosing the forcing terms in an
180    inexact Newton method", Utah State University Math. Stat. Dept. Res.
181    Report 6/94/75, June, 1994, to appear in SIAM J. Sci. Comput.
182 
183 .keywords: SNES, KSP, Eisenstat, Walker, set, parameters
184 
185 .seealso: SNES_KSP_SetConvergenceTestEW()
186 @*/
187 int SNES_KSP_SetParametersEW(SNES snes,int version,double rtol_0,
188                              double rtol_max,double gamma2,double alpha,
189                              double alpha2,double threshold)
190 {
191   SNES_KSP_EW_ConvCtx *kctx = (SNES_KSP_EW_ConvCtx*)snes->kspconvctx;
192   if (!kctx) SETERRQ(1,"SNES_KSP_SetParametersEW:No context");
193   if (version != PETSC_DEFAULT)   kctx->version = version;
194   if (rtol_0 != PETSC_DEFAULT)    kctx->rtol_0 = rtol_0;
195   if (rtol_max != PETSC_DEFAULT)  kctx->rtol_max = rtol_max;
196   if (gamma2 != PETSC_DEFAULT)    kctx->gamma = gamma2;
197   if (alpha != PETSC_DEFAULT)     kctx->alpha = alpha;
198   if (alpha2 != PETSC_DEFAULT)    kctx->alpha2 = alpha2;
199   if (threshold != PETSC_DEFAULT) kctx->threshold = threshold;
200   if (kctx->rtol_0 < 0.0 || kctx->rtol_0 >= 1.0) SETERRQ(1,
201     "SNES_KSP_SetParametersEW: 0.0 <= rtol_0 < 1.0\n");
202   if (kctx->rtol_max < 0.0 || kctx->rtol_max >= 1.0) SETERRQ(1,
203     "SNES_KSP_SetParametersEW: 0.0 <= rtol_max < 1.0\n");
204   if (kctx->threshold <= 0.0 || kctx->threshold >= 1.0) SETERRQ(1,
205     "SNES_KSP_SetParametersEW: 0.0 < threshold < 1.0\n");
206   if (kctx->gamma < 0.0 || kctx->gamma > 1.0) SETERRQ(1,
207     "SNES_KSP_SetParametersEW: 0.0 <= alpha <= 1.0\n");
208   if (kctx->alpha <= 1.0 || kctx->alpha > 2.0) SETERRQ(1,
209     "SNES_KSP_SetParametersEW: 1.0 < alpha <= 2.0\n");
210   if (kctx->version != 1 && kctx->version !=2) SETERRQ(1,
211      "SNES_KSP_SetParametersEW: Only versions 1 and 2 are supported");
212   return 0;
213 }
214 
215 int SNES_KSP_EW_ComputeRelativeTolerance_Private(SNES snes,KSP ksp)
216 {
217   SNES_KSP_EW_ConvCtx *kctx = (SNES_KSP_EW_ConvCtx*)snes->kspconvctx;
218   double rtol, stol;
219   int    ierr;
220   if (!kctx)
221     SETERRQ(1,"SNES_KSP_EW_ComputeRelativeTolerance_Private:No context");
222   if (snes->iter == 1) {
223     rtol = kctx->rtol_0;
224   } else {
225     if (kctx->version == 1) {
226       rtol = (snes->norm - kctx->lresid_last)/kctx->norm_last;
227       if (rtol < 0.0) rtol = -rtol;
228       stol = pow(kctx->rtol_last,kctx->alpha2);
229       if (stol > kctx->threshold) rtol = PETSCMAX(rtol,stol);
230     } else if (kctx->version == 2) {
231       rtol = kctx->gamma * pow(snes->norm/kctx->norm_last,kctx->alpha);
232       stol = kctx->gamma * pow(kctx->rtol_last,kctx->alpha);
233       if (stol > kctx->threshold) rtol = PETSCMAX(rtol,stol);
234     } else SETERRQ(1,
235      "SNES_KSP_EW_Converged_Private:Only versions 1 or 2 are supported");
236   }
237   rtol = PETSCMIN(rtol,kctx->rtol_max);
238   kctx->rtol_last = rtol;
239   PLogInfo((PetscObject)snes,
240     "SNES: iter %d, Eisenstat-Walker (version %d) KSP rtol = %g\n",
241      snes->iter,kctx->version,rtol);
242   ierr = KSPSetTolerances(ksp,rtol,PETSC_DEFAULT,PETSC_DEFAULT,PETSC_DEFAULT);
243   CHKERRQ(ierr);
244   kctx->norm_last = snes->norm;
245   return 0;
246 }
247 
248 int SNES_KSP_EW_Converged_Private(KSP ksp,int n,double rnorm,void *ctx)
249 {
250   SNES                snes = (SNES)ctx;
251   SNES_KSP_EW_ConvCtx *kctx = (SNES_KSP_EW_ConvCtx*)snes->kspconvctx;
252   int                 convinfo;
253 
254   if (!kctx) SETERRQ(1,"SNES_KSP_EW_Converged_Private:No convergence context");
255   if (n == 0) SNES_KSP_EW_ComputeRelativeTolerance_Private(snes,ksp);
256   convinfo = KSPDefaultConverged(ksp,n,rnorm,ctx);
257   kctx->lresid_last = rnorm;
258   if (convinfo)
259     PLogInfo((PetscObject)snes,"SNES: KSP iterations=%d, rnorm=%g\n",n,rnorm);
260   return convinfo;
261 }
262 
263 
264