// @HEADER // ************************************************************************ // // Rapid Optimization Library (ROL) Package // Copyright (2014) Sandia Corporation // // Under terms of Contract DE-AC04-94AL85000, there is a non-exclusive // license for use of this work by or on behalf of the U.S. Government. // // Redistribution and use in source and binary forms, with or without // modification, are permitted provided that the following conditions are // met: // // 1. Redistributions of source code must retain the above copyright // notice, this list of conditions and the following disclaimer. // // 2. Redistributions in binary form must reproduce the above copyright // notice, this list of conditions and the following disclaimer in the // documentation and/or other materials provided with the distribution. // // 3. Neither the name of the Corporation nor the names of the // contributors may be used to endorse or promote products derived from // this software without specific prior written permission. // // THIS SOFTWARE IS PROVIDED BY SANDIA CORPORATION "AS IS" AND ANY // EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE // IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR // PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL SANDIA CORPORATION OR THE // CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, // EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, // PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR // PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF // LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING // NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS // SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. // // Questions? Contact lead developers: // Drew Kouri (dpkouri@sandia.gov) and // Denis Ridzal (dridzal@sandia.gov) // // ************************************************************************ // @HEADER #ifndef HS_PROBLEM_024_HPP #define HS_PROBLEM_024_HPP #include "ROL_NonlinearProgram.hpp" namespace HS { namespace HS_024 { template class Obj { public: template ScalarT value( const std::vector &x, Real &tol ) { ScalarT a = x[0]-3; return (a*a-9)*x[1]*x[1]*x[1]/(27*std::sqrt(3)); } }; template class InCon { public: template void value( std::vector &c, const std::vector &x, Real &tol ) { Real q = std::sqrt(3); c[0] = x[0]/q - x[1]; c[1] = x[0] + q*x[1]; c[2] = -x[0] - q*x[1] + 6; } }; } template class Problem_024 : public ROL::NonlinearProgram { typedef ROL::NonlinearProgram NP; typedef ROL::Vector V; typedef ROL::Objective OBJ; typedef ROL::Constraint CON; private: public: Problem_024() : NP( dimension_x() ) { NP::setLower(0,0.0); NP::setLower(1,0.0); } int dimension_x() { return 2; } int dimension_ci() { return 3; } const ROL::Ptr getObjective() { return ROL::makePtr>(); } const ROL::Ptr getInequalityConstraint() { return ROL::makePtr>(); } const ROL::Ptr getInitialGuess() { Real x[] = {1.0,0.5}; return NP::createOptVector(x); }; bool initialGuessIsFeasible() { return true; } Real getInitialObjectiveValue() { return Real(-0.01336459); } Real getSolutionObjectiveValue() { return Real(-1.0); } ROL::Ptr getSolutionSet() { const Real x[] = {3,std::sqrt(3)}; return ROL::CreatePartitionedVector(NP::createOptVector(x)); } }; } #endif // HS_PROBLEM_024_HPP