function/test_15.cpp

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// @HEADER
// *****************************************************************************
//               Rapid Optimization Library (ROL) Package
//
// Copyright 2014 NTESS and the ROL contributors.
// SPDX-License-Identifier: BSD-3-Clause
// *****************************************************************************
// @HEADER
 
#include "ROL_NullSpaceOperator.hpp"
#include "ROL_Bounds.hpp"
#include "ROL_ScaledStdVector.hpp"
#include "ROL_StdConstraint.hpp"
 
#include "ROL_Stream.hpp"
#include "Teuchos_GlobalMPISession.hpp"
 
template<typename Real>
class con2d : public ROL::StdConstraint<Real> {
public:
  void value(std::vector<Real> &c, const std::vector<Real> &x, Real &tol) {
    c[0] = x[0]+x[1];
  }
  void applyJacobian(std::vector<Real> &jv, const std::vector<Real> &v, const std::vector<Real> &x, Real &tol) {
    jv[0] = v[0]+v[1];
  }
  void applyAdjointJacobian(std::vector<Real> &ajv, const std::vector<Real> &v, const std::vector<Real> &x, Real &tol) {
    ajv[0] = v[0];
    ajv[1] = v[0];
  }
};
 
typedef double RealT;
 
int main(int argc, char *argv[]) {
 
  Teuchos::GlobalMPISession mpiSession(&argc, &argv);
 
  // This little trick lets us print to std::cout only if a
  // (dummy) command-line argument is provided.
  int iprint     = argc - 1;
  ROL::Ptr<std::ostream> outStream;
  ROL::nullstream bhs; // outputs nothing
  if (iprint > 0)
    outStream = ROL::makePtrFromRef(std::cout);
  else
    outStream = ROL::makePtrFromRef(bhs);
 
  int errorFlag = 0;
 
  try {
    RealT tol = std::sqrt(ROL::ROL_EPSILON<RealT>());
    RealT err(0);
    ROL::Ptr<con2d<RealT>> con = ROL::makePtr<con2d<RealT>>();
 
    ROL::Ptr<std::vector<RealT>> yptr = ROL::makePtr<std::vector<RealT>>(2);
    (*yptr)[0] = static_cast<RealT>(rand())/static_cast<RealT>(RAND_MAX);
    (*yptr)[1] = static_cast<RealT>(rand())/static_cast<RealT>(RAND_MAX);
    ROL::StdVector<RealT> y(yptr);
 
    ROL::StdVector<RealT> r(1);
 
    ROL::Ptr<std::vector<RealT>> xptr = ROL::makePtr<std::vector<RealT>>(2);
    (*xptr)[0] = (*yptr)[0];
    (*xptr)[1] = (*yptr)[1];
    ROL::StdVector<RealT> x(xptr);
 
    ROL::Ptr<std::vector<RealT>> Pxptr = ROL::makePtr<std::vector<RealT>>(2,0.0);
    ROL::StdVector<RealT> Px(Pxptr);
 
    ROL::NullSpaceOperator<RealT> ns0(con,x,r);
    ns0.apply(Px,x,tol);
 
    ROL::Ptr<std::vector<RealT>> x0ptr = ROL::makePtr<std::vector<RealT>>(2);
    (*x0ptr)[0] = ((*yptr)[0]-(*yptr)[1])/static_cast<RealT>(2);
    (*x0ptr)[1] = -(*x0ptr)[0];
    ROL::StdVector<RealT> x0(x0ptr);
 
    ROL::StdVector<RealT> e0(2);
 
    *outStream << std::setprecision(6) << std::scientific << std::endl;
    *outStream << "   x[0] = " <<  (*xptr)[0] << "   x[1] = " <<  (*xptr)[1] << std::endl;
    *outStream << "  Px[0] = " << (*Pxptr)[0] << "  Px[1] = " << (*Pxptr)[1] << std::endl;
    *outStream << "  x*[0] = " << (*x0ptr)[0] << "  x*[1] = " << (*x0ptr)[1] << std::endl;
 
    e0.set(x0); e0.axpy(static_cast<RealT>(-1),Px);
    err = e0.norm();
    *outStream << "  Error in Euclidean Projection: " << err << std::endl;
 
    e0.set(x); e0.axpy(static_cast<RealT>(-1),x0);
    *outStream << "  ||x*-x||^2 = " << e0.norm() << std::endl;
 
    e0.set(x); e0.axpy(static_cast<RealT>(-1),Px);
    *outStream << "  ||Px-x||^2 = " << e0.norm() << std::endl << std::endl;
 
    errorFlag += (err > tol);
 
    ROL::Ptr<std::vector<RealT>> dptr = ROL::makePtr<std::vector<RealT>>(2);
    (*dptr)[0] = static_cast<RealT>(1)+static_cast<RealT>(2)*static_cast<RealT>(rand())/static_cast<RealT>(RAND_MAX);
    (*dptr)[1] = static_cast<RealT>(1)+static_cast<RealT>(5)*static_cast<RealT>(rand())/static_cast<RealT>(RAND_MAX);
 
    ROL::Ptr<std::vector<RealT>> x1ptr = ROL::makePtr<std::vector<RealT>>(2);
    (*x1ptr)[0] = ((*dptr)[0]*(*yptr)[0]-(*dptr)[1]*(*yptr)[1])/((*dptr)[0]+(*dptr)[1]);
    (*x1ptr)[1] = -(*x1ptr)[0];
    ROL::PrimalScaledStdVector<RealT> x1(x1ptr,dptr);
 
    ROL::Ptr<std::vector<RealT>> zptr = ROL::makePtr<std::vector<RealT>>(2);
    (*zptr)[0] = (*yptr)[0];
    (*zptr)[1] = (*yptr)[1];
    ROL::PrimalScaledStdVector<RealT> z(zptr,dptr);
 
    ROL::Ptr<std::vector<RealT>> Pzptr = ROL::makePtr<std::vector<RealT>>(2,0.0);
    ROL::PrimalScaledStdVector<RealT> Pz(Pzptr,dptr);
 
    ROL::NullSpaceOperator<RealT> ns1(con,z,r);
    ns1.apply(Pz,z,tol);
 
    ROL::Ptr<std::vector<RealT>> e1ptr = ROL::makePtr<std::vector<RealT>>(2);
    ROL::PrimalScaledStdVector<RealT> e1(e1ptr,dptr);
 
    *outStream << std::endl;
    *outStream << "   x[0] = " <<  (*zptr)[0] << "   x[1] = " <<  (*zptr)[1] << std::endl;
    *outStream << "  Px[0] = " << (*Pzptr)[0] << "  Px[1] = " << (*Pzptr)[1] << std::endl;
    *outStream << "  x*[0] = " << (*x1ptr)[0] << "  x*[1] = " << (*x1ptr)[1] << std::endl;
 
    e1.set(x1); e1.axpy(static_cast<RealT>(-1),Pz);
    err = e1.norm();
    *outStream << "  Error in Euclidean Projection: " << err << std::endl;
 
    e1.set(z); e1.axpy(static_cast<RealT>(-1),x1);
    *outStream << "  ||x*-x||^2 = " << e1.norm() << std::endl;
 
    e1.set(z); e1.axpy(static_cast<RealT>(-1),Pz);
    *outStream << "  ||Px-x||^2 = " << e1.norm() << std::endl << std::endl;
 
    errorFlag += (err > tol);
  }
  
  catch (std::logic_error& err) {
    *outStream << err.what() << "\n";
    errorFlag = -1000;
  }; // end try
 
  if (errorFlag != 0)
    std::cout << "End Result: TEST FAILED\n";
  else
    std::cout << "End Result: TEST PASSED\n";
 
  return 0;
}