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Comparing:
trunk/src/minimizers/SDMinimizer.cpp (file contents), Revision 2 by gezelter, Fri Sep 24 04:16:43 2004 UTC vs.
branches/development/src/minimizers/SDMinimizer.cpp (file contents), Revision 1665 by gezelter, Tue Nov 22 20:38:56 2011 UTC

# Line 1 | Line 1
1 < #include "OOPSEMinimizer.hpp"
2 < #include "Utility.hpp"
1 > /*
2 > * Copyright (c) 2005 The University of Notre Dame. All Rights Reserved.
3 > *
4 > * The University of Notre Dame grants you ("Licensee") a
5 > * non-exclusive, royalty free, license to use, modify and
6 > * redistribute this software in source and binary code form, provided
7 > * that the following conditions are met:
8 > *
9 > * 1. Redistributions of source code must retain the above copyright
10 > *    notice, this list of conditions and the following disclaimer.
11 > *
12 > * 2. Redistributions in binary form must reproduce the above copyright
13 > *    notice, this list of conditions and the following disclaimer in the
14 > *    documentation and/or other materials provided with the
15 > *    distribution.
16 > *
17 > * This software is provided "AS IS," without a warranty of any
18 > * kind. All express or implied conditions, representations and
19 > * warranties, including any implied warranty of merchantability,
20 > * fitness for a particular purpose or non-infringement, are hereby
21 > * excluded.  The University of Notre Dame and its licensors shall not
22 > * be liable for any damages suffered by licensee as a result of
23 > * using, modifying or distributing the software or its
24 > * derivatives. In no event will the University of Notre Dame or its
25 > * licensors be liable for any lost revenue, profit or data, or for
26 > * direct, indirect, special, consequential, incidental or punitive
27 > * damages, however caused and regardless of the theory of liability,
28 > * arising out of the use of or inability to use software, even if the
29 > * University of Notre Dame has been advised of the possibility of
30 > * such damages.
31 > *
32 > * SUPPORT OPEN SCIENCE!  If you use OpenMD or its source code in your
33 > * research, please cite the appropriate papers when you publish your
34 > * work.  Good starting points are:
35 > *                                                                      
36 > * [1]  Meineke, et al., J. Comp. Chem. 26, 252-271 (2005).            
37 > * [2]  Fennell & Gezelter, J. Chem. Phys. 124, 234104 (2006).          
38 > * [3]  Sun, Lin & Gezelter, J. Chem. Phys. 128, 24107 (2008).          
39 > * [4]  Kuang & Gezelter,  J. Chem. Phys. 133, 164101 (2010).
40 > * [5]  Vardeman, Stocker & Gezelter, J. Chem. Theory Comput. 7, 834 (2011).
41 > */
42 >
43 > #include "minimizers/SDMinimizer.hpp"
44 > #include "utils/Utility.hpp"
45 > #ifdef IS_MPI
46 > #include <mpi.h>
47 > #endif
48  
4 SDMinimizer::SDMinimizer(SimInfo *theInfo, ForceFields* the_ff ,
5                                                               MinimizerParameterSet * param)
6                         :OOPSEMinimizer(theInfo, the_ff, param){
49  
50 <  direction.resize(ndim);
51 <  stepSize = paramSet->getStepSize();                        
52 < }
50 > namespace OpenMD {
51 >  SDMinimizer::SDMinimizer(SimInfo* info) : Minimizer(info) {
52 >    direction.resize(ndim);
53 >    stepSize = paramSet->getStepSize();
54 >  }
55  
56 < void SDMinimizer::init(){
56 >  void SDMinimizer::init() {
57 >    calcG();
58  
59 <  calcG();
60 <  
61 <  for(int i = 0; i < direction.size(); i++){    
62 <    direction[i] = -curG[i];
18 <  }  
19 < }  
59 >    for(int i = 0; i < direction.size(); i++) {
60 >      direction[i] = -curG[i];
61 >    }
62 >  }
63  
64 < int SDMinimizer::step(){
65 <  int lsStatus;
23 <
24 <  prevF = curF;
25 <  
26 <  //optimize along the search direction and reset minimum point value
27 <    lsStatus = doLineSearch(direction, stepSize);
64 >  int SDMinimizer::step() {
65 >    int lsStatus;
66  
67 <  if (lsStatus < 0)
30 <    return -1;
31 <  else
32 <    return 1;
33 < }
67 >    prevF = curF;
68  
69 < void SDMinimizer::prepareStep(){
70 <  
37 <  for(int i = 0; i < direction.size(); i++){    
38 <    direction[i] = -curG[i];
39 <  }  
40 < }  
41 < int SDMinimizer::checkConvg(){
42 <  double fTol;
43 <  double relativeFTol;  // relative tolerance
44 <  double deltaF;
45 <  double gTol;
46 <  double relativeGTol;
47 <  double gnorm;
48 <  
69 >    //optimize along the search direction and reset minimum point value
70 >    lsStatus = doLineSearch(direction, stepSize);
71  
72 <  // test function tolerance test
73 <  fTol =paramSet->getFTol();
74 <  relativeFTol = fTol * std::max(1.0,fabs(curF));  // relative tolerance
75 <  deltaF = prevF - curF;
76 <  
55 <  if (fabs(deltaF) <= relativeFTol) {
72 >    if (lsStatus < 0)
73 >      return -1;
74 >    else
75 >      return 1;
76 >  }
77  
78 <    if (bVerbose){
79 <      cout << "function value tolerance test passed" << endl;
80 <      cout << "ftol = " << fTol
60 <             << "\tdeltaf = " << deltaF<< endl;
78 >  void SDMinimizer::prepareStep() {
79 >    for(int i = 0; i < direction.size(); i++) {
80 >      direction[i] = -curG[i];
81      }
62    return CONVG_FTOL;
82    }
64  
65 //gradient tolerance test
66  gTol = paramSet->getGTol();
67  relativeGTol = gTol * std::max(1.0,fabs(curF));
83  
84 +  int SDMinimizer::checkConvg() {
85 +    RealType fTol;
86 +    RealType relativeFTol; // relative tolerance
87 +    RealType deltaF;
88 +    RealType gTol;
89 +    RealType relativeGTol;
90 +    RealType gnorm;
91 +
92 +    // test function tolerance test
93 +    fTol = paramSet->getFTol();
94 +    relativeFTol = fTol * std::max(1.0, fabs(curF)); // relative tolerance
95 +    deltaF = prevF - curF;
96 +
97 +    if (fabs(deltaF) <= relativeFTol) {
98 +      if (bVerbose) {
99 +        std::cout << "function value tolerance test passed" << std::endl;
100 +        std::cout << "ftol = " << fTol << "\tdeltaf = " << deltaF << std::endl;
101 +      }
102 +
103 +      return CONVG_FTOL;
104 +    }
105 +
106 +    //gradient tolerance test
107 +    gTol = paramSet->getGTol();
108 +    relativeGTol = gTol * std::max(1.0, fabs(curF));
109 +
110   #ifndef IS_MPI
111 <  gnorm = sqrt(dotProduct(curG, curG));
111 >
112 >    gnorm = sqrt(dotProduct(curG, curG));
113 >
114   #else
72  double localDP;
73  double globalDP;
115  
116 <  localDP = dotProduct(curG, curG);
117 <  MPI_Allreduce(&localDP, &globalDP, 1, MPI_DOUBLE,MPI_SUM, MPI_COMM_WORLD);  
118 <  gnorm  = sqrt(globalDP);
116 >    RealType localDP;
117 >    RealType globalDP;
118 >
119 >    localDP = dotProduct(curG, curG);
120 >    MPI_Allreduce(&localDP, &globalDP, 1, MPI_REALTYPE, MPI_SUM, MPI_COMM_WORLD);
121 >    gnorm = sqrt(globalDP);
122 >
123   #endif
124  
125 <  if (gnorm <= relativeGTol) {
126 <      cout << "gradient tolerance test" << endl;
127 <      cout << "gnorm = " << gnorm
128 <             << "\trelativeGTol = " << relativeGTol<< endl;
129 <    return CONVG_GTOL;
130 <  }
86 <  
87 <  //absolute gradient tolerance test
125 >    if (gnorm <= relativeGTol) {
126 >      std::cout << "gradient tolerance test" << std::endl;
127 >      std::cout << "gnorm = " << gnorm << "\trelativeGTol = " << relativeGTol
128 >                << std::endl;
129 >      return CONVG_GTOL;
130 >    }
131  
132 <  if (gnorm <= gTol) {
133 <      cout << "absolute gradient tolerance test" << endl;
134 <      cout << "gnorm = " << gnorm
135 <             << "\tgTol = " << gTol<< endl;
136 <    return CONVG_ABSGTOL;
132 >    //absolute gradient tolerance test
133 >
134 >    if (gnorm <= gTol) {
135 >      std::cout << "absolute gradient tolerance test" << std::endl;
136 >      std::cout << "gnorm = " << gnorm << "\tgTol = " << gTol << std::endl;
137 >      return CONVG_ABSGTOL;
138 >    }
139 >
140 >    return CONVG_UNCONVG;
141    }
142  
96  return CONVG_UNCONVG;
143   }
98

Comparing:
trunk/src/minimizers/SDMinimizer.cpp (property svn:keywords), Revision 2 by gezelter, Fri Sep 24 04:16:43 2004 UTC vs.
branches/development/src/minimizers/SDMinimizer.cpp (property svn:keywords), Revision 1665 by gezelter, Tue Nov 22 20:38:56 2011 UTC

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