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ConstrainedOptPack: C++ Tools for Constrained (and Unconstrained) Optimization
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00001 // @HEADER 00002 // *********************************************************************** 00003 // 00004 // Moocho: Multi-functional Object-Oriented arCHitecture for Optimization 00005 // Copyright (2003) Sandia Corporation 00006 // 00007 // Under terms of Contract DE-AC04-94AL85000, there is a non-exclusive 00008 // license for use of this work by or on behalf of the U.S. Government. 00009 // 00010 // Redistribution and use in source and binary forms, with or without 00011 // modification, are permitted provided that the following conditions are 00012 // met: 00013 // 00014 // 1. Redistributions of source code must retain the above copyright 00015 // notice, this list of conditions and the following disclaimer. 00016 // 00017 // 2. Redistributions in binary form must reproduce the above copyright 00018 // notice, this list of conditions and the following disclaimer in the 00019 // documentation and/or other materials provided with the distribution. 00020 // 00021 // 3. Neither the name of the Corporation nor the names of the 00022 // contributors may be used to endorse or promote products derived from 00023 // this software without specific prior written permission. 00024 // 00025 // THIS SOFTWARE IS PROVIDED BY SANDIA CORPORATION "AS IS" AND ANY 00026 // EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE 00027 // IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR 00028 // PURPOSE ARE DISCLAIMED. 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Bartlett (rabartl@sandia.gov) 00038 // 00039 // *********************************************************************** 00040 // @HEADER 00041 00042 #ifndef COP_QP_SOLVER_STATS_H 00043 #define COP_QP_SOLVER_STATS_H 00044 00045 #include "ConstrainedOptPack_Types.hpp" 00046 00047 namespace ConstrainedOptPack { 00048 00051 class QPSolverStats { 00052 public: 00053 00054 // Public types 00055 00057 enum { NOT_KNOWN = -1 }; 00058 00060 enum ESolutionType { 00061 SOLUTION_TYPE_NOT_KNOWN = static_cast<int>(NOT_KNOWN), 00062 OPTIMAL_SOLUTION = 0, 00063 PRIMAL_FEASIBLE_POINT = 1, 00064 DUAL_FEASIBLE_POINT = 2, 00065 SUBOPTIMAL_POINT = 3 00066 }; 00068 enum EConvexity { 00069 CONVEXITY_NOT_KNOWN = static_cast<int>(NOT_KNOWN), 00070 CONVEX = 0, 00071 NONCONVEX = 1 00072 }; 00073 00074 // Public interface 00075 00077 QPSolverStats() 00078 : solution_type_(SOLUTION_TYPE_NOT_KNOWN) 00079 , convexity_(CONVEXITY_NOT_KNOWN) 00080 , num_qp_iter_(NOT_KNOWN) 00081 , num_adds_(NOT_KNOWN), num_drops_(NOT_KNOWN) 00082 , warm_start_(false), infeasible_qp_(false) 00083 {} 00085 void set_stats( 00086 ESolutionType solution_type, EConvexity convexity 00087 ,int num_qp_iter, int num_adds, int num_drops 00088 , bool warm_start, bool infeasible_qp ) 00089 { 00090 solution_type_ = solution_type; 00091 convexity_ = convexity; 00092 num_qp_iter_ = num_qp_iter; 00093 num_adds_ = num_adds; 00094 num_drops_ = num_drops; 00095 warm_start_ = warm_start; 00096 infeasible_qp_ = infeasible_qp; 00097 } 00099 ESolutionType solution_type() const 00100 { 00101 return solution_type_; 00102 } 00104 EConvexity convexity() const 00105 { 00106 return convexity_; 00107 } 00109 int num_qp_iter() const 00110 { 00111 return num_qp_iter_; 00112 } 00114 int num_adds() const 00115 { 00116 return num_adds_; 00117 } 00119 int num_drop() const 00120 { 00121 return num_drops_; 00122 } 00124 int warm_start() const 00125 { 00126 return warm_start_; 00127 } 00129 int infeasible_qp() const 00130 { 00131 return infeasible_qp_; 00132 } 00133 00134 private: 00135 ESolutionType solution_type_; 00136 EConvexity convexity_; 00137 int num_qp_iter_; 00138 int num_adds_; 00139 int num_drops_; 00140 bool warm_start_; 00141 bool infeasible_qp_; 00142 00143 }; // end class QPSolverStats 00144 00145 inline 00146 std::string toString( const QPSolverStats::ESolutionType &solution_type ) 00147 { 00148 switch(solution_type) { 00149 case QPSolverStats::SOLUTION_TYPE_NOT_KNOWN: 00150 return "SOLUTION_TYPE_NOT_KNOWN"; 00151 break; 00152 case QPSolverStats::OPTIMAL_SOLUTION: 00153 return "OPTIMAL_SOLUTION"; 00154 break; 00155 case QPSolverStats::PRIMAL_FEASIBLE_POINT: 00156 return "PRIMAL_FEASIBLE_POINT"; 00157 break; 00158 case QPSolverStats::DUAL_FEASIBLE_POINT: 00159 return "DUAL_FEASIBLE_POINT"; 00160 break; 00161 case QPSolverStats::SUBOPTIMAL_POINT: 00162 return "SUBOPTIMAL_POINT"; 00163 break; 00164 default: 00165 TEUCHOS_TEST_FOR_EXCEPT(true); 00166 } 00167 } 00168 00169 } // end namespace ConstrainedOptPack 00170 00171 #endif // COP_QP_SOLVER_STATS_H
1.7.6.1