| // This file is part of Eigen, a lightweight C++ template library | |
| // for linear algebra. | |
| // | |
| // Copyright (C) 2010 Manuel Yguel <manuel.yguel@gmail.com> | |
| // | |
| // This Source Code Form is subject to the terms of the Mozilla | |
| // Public License v. 2.0. If a copy of the MPL was not distributed | |
| // with this file, You can obtain one at http://mozilla.org/MPL/2.0/. | |
| #include "main.h" | |
| #include <unsupported/Eigen/Polynomials> | |
| #include <iostream> | |
| using namespace std; | |
| namespace Eigen { | |
| namespace internal { | |
| template<int Size> | |
| struct increment_if_fixed_size | |
| { | |
| enum { | |
| ret = (Size == Dynamic) ? Dynamic : Size+1 | |
| }; | |
| }; | |
| } | |
| } | |
| template<typename _Scalar, int _Deg> | |
| void realRoots_to_monicPolynomial_test(int deg) | |
| { | |
| typedef internal::increment_if_fixed_size<_Deg> Dim; | |
| typedef Matrix<_Scalar,Dim::ret,1> PolynomialType; | |
| typedef Matrix<_Scalar,_Deg,1> EvalRootsType; | |
| PolynomialType pols(deg+1); | |
| EvalRootsType roots = EvalRootsType::Random(deg); | |
| roots_to_monicPolynomial( roots, pols ); | |
| EvalRootsType evr( deg ); | |
| for( int i=0; i<roots.size(); ++i ){ | |
| evr[i] = std::abs( poly_eval( pols, roots[i] ) ); } | |
| bool evalToZero = evr.isZero( test_precision<_Scalar>() ); | |
| if( !evalToZero ){ | |
| cerr << evr.transpose() << endl; } | |
| VERIFY( evalToZero ); | |
| } | |
| template<typename _Scalar> void realRoots_to_monicPolynomial_scalar() | |
| { | |
| CALL_SUBTEST_2( (realRoots_to_monicPolynomial_test<_Scalar,2>(2)) ); | |
| CALL_SUBTEST_3( (realRoots_to_monicPolynomial_test<_Scalar,3>(3)) ); | |
| CALL_SUBTEST_4( (realRoots_to_monicPolynomial_test<_Scalar,4>(4)) ); | |
| CALL_SUBTEST_5( (realRoots_to_monicPolynomial_test<_Scalar,5>(5)) ); | |
| CALL_SUBTEST_6( (realRoots_to_monicPolynomial_test<_Scalar,6>(6)) ); | |
| CALL_SUBTEST_7( (realRoots_to_monicPolynomial_test<_Scalar,7>(7)) ); | |
| CALL_SUBTEST_8( (realRoots_to_monicPolynomial_test<_Scalar,17>(17)) ); | |
| CALL_SUBTEST_9( (realRoots_to_monicPolynomial_test<_Scalar,Dynamic>( | |
| internal::random<int>(18,26) )) ); | |
| } | |
| template<typename _Scalar, int _Deg> | |
| void CauchyBounds(int deg) | |
| { | |
| typedef internal::increment_if_fixed_size<_Deg> Dim; | |
| typedef Matrix<_Scalar,Dim::ret,1> PolynomialType; | |
| typedef Matrix<_Scalar,_Deg,1> EvalRootsType; | |
| PolynomialType pols(deg+1); | |
| EvalRootsType roots = EvalRootsType::Random(deg); | |
| roots_to_monicPolynomial( roots, pols ); | |
| _Scalar M = cauchy_max_bound( pols ); | |
| _Scalar m = cauchy_min_bound( pols ); | |
| _Scalar Max = roots.array().abs().maxCoeff(); | |
| _Scalar min = roots.array().abs().minCoeff(); | |
| bool eval = (M >= Max) && (m <= min); | |
| if( !eval ) | |
| { | |
| cerr << "Roots: " << roots << endl; | |
| cerr << "Bounds: (" << m << ", " << M << ")" << endl; | |
| cerr << "Min,Max: (" << min << ", " << Max << ")" << endl; | |
| } | |
| VERIFY( eval ); | |
| } | |
| template<typename _Scalar> void CauchyBounds_scalar() | |
| { | |
| CALL_SUBTEST_2( (CauchyBounds<_Scalar,2>(2)) ); | |
| CALL_SUBTEST_3( (CauchyBounds<_Scalar,3>(3)) ); | |
| CALL_SUBTEST_4( (CauchyBounds<_Scalar,4>(4)) ); | |
| CALL_SUBTEST_5( (CauchyBounds<_Scalar,5>(5)) ); | |
| CALL_SUBTEST_6( (CauchyBounds<_Scalar,6>(6)) ); | |
| CALL_SUBTEST_7( (CauchyBounds<_Scalar,7>(7)) ); | |
| CALL_SUBTEST_8( (CauchyBounds<_Scalar,17>(17)) ); | |
| CALL_SUBTEST_9( (CauchyBounds<_Scalar,Dynamic>( | |
| internal::random<int>(18,26) )) ); | |
| } | |
| void test_polynomialutils() | |
| { | |
| for(int i = 0; i < g_repeat; i++) | |
| { | |
| realRoots_to_monicPolynomial_scalar<double>(); | |
| realRoots_to_monicPolynomial_scalar<float>(); | |
| CauchyBounds_scalar<double>(); | |
| CauchyBounds_scalar<float>(); | |
| } | |
| } |