ConstrainedOptPack: C++ Tools for Constrained (and Unconstrained) Optimization Version of the Day
ConstrainedOptPack_MeritFuncCalc1DQuadratic.cpp
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00004 // Moocho: Multi-functional Object-Oriented arCHitecture for Optimization
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00041 
00042 #include "ConstrainedOptPack_MeritFuncCalc1DQuadratic.hpp"
00043 #include "ConstrainedOptPack_MeritFuncCalc.hpp"
00044 #include "AbstractLinAlgPack_VectorMutable.hpp"
00045 #include "AbstractLinAlgPack_VectorStdOps.hpp"
00046 #include "Teuchos_Assert.hpp"
00047 
00048 namespace ConstrainedOptPack {
00049 
00050 MeritFuncCalc1DQuadratic::MeritFuncCalc1DQuadratic(
00051   const MeritFuncCalc&      phi
00052   ,size_type                p
00053   ,const_VectorWithOp_ptr   d[]
00054   ,VectorMutable*     x
00055   )
00056   : phi_(phi), p_(p), x_(x)
00057 {
00058   TEUCHOS_TEST_FOR_EXCEPTION(
00059     !(1 <= p && p <= 2 ), std::invalid_argument
00060     ,"MeritFuncCalc1DQuadratic::MeritFuncCalc1DQuadratic(...) : Error! "
00061     "p = " << p << " must be in the range 1 <= p <= 2"
00062     );
00063   for( size_type i = 0; i <= p; ++i )
00064     d_[i] = d[i];
00065 }
00066 
00067 value_type MeritFuncCalc1DQuadratic::operator()(value_type alpha) const
00068 {
00069   using AbstractLinAlgPack::Vp_StV;
00070   *x_ = *d_[0];
00071   value_type alpha_i = alpha;
00072   for( size_type i = 1; i <= p_; ++i, alpha_i *= alpha ) {
00073     Vp_StV( x_, alpha_i, *d_[i] );
00074   }
00075   return phi_( *x_ );
00076 }
00077 
00078 value_type  MeritFuncCalc1DQuadratic::deriv() const
00079 {
00080   return phi_.deriv();
00081 }
00082 
00083 void MeritFuncCalc1DQuadratic::print_merit_func(
00084   std::ostream& out, const std::string& L
00085   ) const
00086 {
00087   out << L << "*** MeritFuncCalc1DQuadratic\n"
00088     << L << "x = xo + alpha*d[1] + alpha^2*d[2]\n";
00089   phi_.print_merit_func( out, L );
00090 }
00091 
00092 } // end namespace ConstrainedOptPack
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