| 1 | // | 
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| 2 | // opttest.cc | 
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| 3 | // | 
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| 4 | // Copyright (C) 1996 Limit Point Systems, Inc. | 
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| 5 | // | 
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| 6 | // Author: Curtis Janssen <cljanss@limitpt.com> | 
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| 7 | // Maintainer: LPS | 
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| 8 | // | 
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| 9 | // This file is part of the SC Toolkit. | 
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| 10 | // | 
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| 11 | // The SC Toolkit is free software; you can redistribute it and/or modify | 
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| 12 | // it under the terms of the GNU Library General Public License as published by | 
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| 13 | // the Free Software Foundation; either version 2, or (at your option) | 
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| 14 | // any later version. | 
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| 15 | // | 
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| 16 | // The SC Toolkit is distributed in the hope that it will be useful, | 
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| 17 | // but WITHOUT ANY WARRANTY; without even the implied warranty of | 
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| 18 | // MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the | 
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| 19 | // GNU Library General Public License for more details. | 
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| 20 | // | 
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| 21 | // You should have received a copy of the GNU Library General Public License | 
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| 22 | // along with the SC Toolkit; see the file COPYING.LIB.  If not, write to | 
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| 23 | // the Free Software Foundation, 675 Mass Ave, Cambridge, MA 02139, USA. | 
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| 24 | // | 
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| 25 | // The U.S. Government is granted a limited license as per AL 91-7. | 
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| 26 | // | 
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| 27 |  | 
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| 28 | #include <iostream> | 
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| 29 | #include <util/state/stateio.h> | 
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| 30 | #include <math/optimize/function.h> | 
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| 31 | #include <math/optimize/opt.h> | 
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| 32 | #include <util/keyval/keyval.h> | 
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| 33 | #include <math/scmat/local.h> | 
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| 34 | #include <math/scmat/matrix.h> | 
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| 35 | #include <math/scmat/elemop.h> | 
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| 36 | #include <math/optimize/linkage.h> | 
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| 37 |  | 
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| 38 | using namespace std; | 
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| 39 | using namespace sc; | 
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| 40 |  | 
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| 41 | class Quadratic: public Function | 
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| 42 | { | 
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| 43 | private: | 
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| 44 | RefSCVector x0; | 
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| 45 | RefSCVector g0; | 
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| 46 | RefSymmSCMatrix h0; | 
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| 47 | RefSymmSCMatrix hguess; | 
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| 48 | public: | 
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| 49 | Quadratic(StateIn&); | 
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| 50 | Quadratic(const Ref<KeyVal>&); | 
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| 51 | void save_data_state(StateOut&); | 
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| 52 | void compute(); | 
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| 53 | void guess_hessian(RefSymmSCMatrix&); | 
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| 54 | }; | 
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| 55 | static ClassDesc Quadratic_cd( | 
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| 56 | typeid(Quadratic),"Quadratic",1,"public Function", | 
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| 57 | 0, create<Quadratic>, create<Quadratic>); | 
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| 58 | Quadratic::Quadratic(StateIn&s): | 
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| 59 | SavableState(s), | 
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| 60 | Function(s) | 
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| 61 | { | 
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| 62 | x0 = matrixkit_->vector(dim_); | 
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| 63 | x0.restore(s); | 
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| 64 | g0 = matrixkit_->vector(dim_); | 
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| 65 | g0.restore(s); | 
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| 66 | h0 = matrixkit_->symmmatrix(dim_); | 
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| 67 | h0.restore(s); | 
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| 68 | } | 
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| 69 | void | 
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| 70 | Quadratic::save_data_state(StateOut&s) | 
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| 71 | { | 
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| 72 | Function::save_data_state(s); | 
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| 73 | x0.save(s); | 
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| 74 | g0.save(s); | 
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| 75 | h0.save(s); | 
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| 76 | } | 
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| 77 | Quadratic::Quadratic(const Ref<KeyVal>&keyval): | 
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| 78 | Function(keyval) | 
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| 79 | { | 
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| 80 | set_dimension(new SCDimension(keyval->count("x0"))); | 
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| 81 | x0 = matrixkit_->vector(dim_); | 
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| 82 | g0 = matrixkit_->vector(dim_); | 
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| 83 | h0 = matrixkit_->symmmatrix(dim_); | 
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| 84 | hguess = matrixkit_->symmmatrix(dim_); | 
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| 85 | hguess.assign(0.0); | 
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| 86 | Ref<SCElementOp> op(new SCElementShiftDiagonal(1.0)); | 
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| 87 | hguess.element_op(op); | 
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| 88 |  | 
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| 89 | int dim = dimension()->n(); | 
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| 90 | for (int i=0; i<dim; i++) { | 
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| 91 | x0(i) = keyval->doublevalue("x0",i); | 
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| 92 | g0(i) = keyval->doublevalue("g0",i); | 
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| 93 | for (int j=0; j<=i; j++) { | 
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| 94 | h0(i,j) = keyval->doublevalue("h0",i,j); | 
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| 95 | hguess(i,j) = keyval->doublevalue("hguess",i,j); | 
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| 96 | } | 
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| 97 | } | 
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| 98 | } | 
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| 99 | // this computes everything, whether or not it was requested | 
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| 100 | void | 
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| 101 | Quadratic::compute() | 
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| 102 | { | 
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| 103 | cout << "Quadratic::compute(): entered\n"; | 
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| 104 |  | 
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| 105 | // compute the displacement from x0 | 
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| 106 | RefSCVector d = x_ - x0; | 
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| 107 |  | 
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| 108 | // compute h * d | 
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| 109 | RefSCVector h0d = h0 * d; | 
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| 110 | //   RefSCVector h0d(h0.dim()); | 
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| 111 | //   int n=h0.dim().n(); | 
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| 112 | //   for (int i=0; i<n; i++) { | 
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| 113 | //       double tmp = 0; | 
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| 114 | //       for (int j=0; j<n; j++) { | 
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| 115 | //           tmp += h0(i,j) * d(j); | 
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| 116 | //         } | 
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| 117 | //       h0d(i) = tmp; | 
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| 118 | //     } | 
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| 119 |  | 
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| 120 | // compute the value | 
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| 121 | value_.result_noupdate() =   d.scalar_product(g0) | 
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| 122 | + 0.5 * d.scalar_product(h0d); | 
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| 123 | value_.computed() = 1; | 
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| 124 |  | 
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| 125 | // compute the gradient | 
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| 126 | gradient_.result_noupdate() = g0 + h0d; | 
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| 127 | gradient_.computed() = 1; | 
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| 128 |  | 
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| 129 | // compute the hessian | 
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| 130 | hessian_.result_noupdate() = h0; | 
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| 131 | hessian_.computed() = 1; | 
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| 132 | } | 
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| 133 | void | 
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| 134 | Quadratic::guess_hessian(RefSymmSCMatrix&gh) | 
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| 135 | { | 
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| 136 | gh.assign(hguess); | 
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| 137 | } | 
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| 138 |  | 
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| 139 | main() | 
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| 140 | { | 
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| 141 | Ref<KeyVal> kv = new ParsedKeyVal( SRCDIR "/opttest.in"); | 
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| 142 | Ref<KeyVal> pkv = new PrefixKeyVal(kv,"opt"); | 
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| 143 |  | 
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| 144 | for (int i=0; i<pkv->count(); i++) { | 
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| 145 | Ref<Optimize> opt; opt << pkv->describedclassvalue(i); | 
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| 146 | if (opt.nonnull()) { | 
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| 147 | RefSCVector oldx = opt->function()->get_x(); | 
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| 148 | opt->optimize(); | 
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| 149 | // restore the orginal x, in case the function is used again | 
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| 150 | opt->function()->set_x(oldx); | 
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| 151 | } | 
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| 152 | } | 
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| 153 | } | 
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| 154 |  | 
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| 155 | ///////////////////////////////////////////////////////////////////////////// | 
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| 156 |  | 
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| 157 | // Local Variables: | 
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| 158 | // mode: c++ | 
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| 159 | // c-file-style: "CLJ" | 
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| 160 | // End: | 
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