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							141 lines
						
					
					
						
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							141 lines
						
					
					
						
							4.3 KiB
						
					
					
				
								// This file is part of Eigen, a lightweight C++ template library
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								// for linear algebra.
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								//
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								// Copyright (C) 2009 Jitse Niesen <jitse@maths.leeds.ac.uk>
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								//
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								// This Source Code Form is subject to the terms of the Mozilla
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								// Public License v. 2.0. If a copy of the MPL was not distributed
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								// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
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								#include "matrix_functions.h"
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								double binom(int n, int k)
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								{
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								  double res = 1;
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								  for (int i=0; i<k; i++)
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								    res = res * (n-k+i+1) / (i+1);
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								  return res;
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								}
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								template <typename T>
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								T expfn(T x, int)
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								{
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								  return std::exp(x);
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								}
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								template <typename T>
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								void test2dRotation(double tol)
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								{
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								  Matrix<T,2,2> A, B, C;
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								  T angle;
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								  A << 0, 1, -1, 0;
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								  for (int i=0; i<=20; i++)
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								  {
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								    angle = static_cast<T>(pow(10, i / 5. - 2));
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								    B << std::cos(angle), std::sin(angle), -std::sin(angle), std::cos(angle);
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								    C = (angle*A).matrixFunction(expfn);
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								    std::cout << "test2dRotation: i = " << i << "   error funm = " << relerr(C, B);
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								    VERIFY(C.isApprox(B, static_cast<T>(tol)));
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								    C = (angle*A).exp();
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								    std::cout << "   error expm = " << relerr(C, B) << "\n";
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								    VERIFY(C.isApprox(B, static_cast<T>(tol)));
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								  }
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								}
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								template <typename T>
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								void test2dHyperbolicRotation(double tol)
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								{
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								  Matrix<std::complex<T>,2,2> A, B, C;
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								  std::complex<T> imagUnit(0,1);
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								  T angle, ch, sh;
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								  for (int i=0; i<=20; i++)
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								  {
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								    angle = static_cast<T>((i-10) / 2.0);
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								    ch = std::cosh(angle);
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								    sh = std::sinh(angle);
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								    A << 0, angle*imagUnit, -angle*imagUnit, 0;
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								    B << ch, sh*imagUnit, -sh*imagUnit, ch;
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								    C = A.matrixFunction(expfn);
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								    std::cout << "test2dHyperbolicRotation: i = " << i << "   error funm = " << relerr(C, B);
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								    VERIFY(C.isApprox(B, static_cast<T>(tol)));
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								    C = A.exp();
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								    std::cout << "   error expm = " << relerr(C, B) << "\n";
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								    VERIFY(C.isApprox(B, static_cast<T>(tol)));
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								  }
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								}
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								template <typename T>
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								void testPascal(double tol)
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								{
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								  for (int size=1; size<20; size++)
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								  {
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								    Matrix<T,Dynamic,Dynamic> A(size,size), B(size,size), C(size,size);
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								    A.setZero();
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								    for (int i=0; i<size-1; i++)
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								      A(i+1,i) = static_cast<T>(i+1);
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								    B.setZero();
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								    for (int i=0; i<size; i++)
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								      for (int j=0; j<=i; j++)
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								    B(i,j) = static_cast<T>(binom(i,j));
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								    C = A.matrixFunction(expfn);
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								    std::cout << "testPascal: size = " << size << "   error funm = " << relerr(C, B);
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								    VERIFY(C.isApprox(B, static_cast<T>(tol)));
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								    C = A.exp();
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								    std::cout << "   error expm = " << relerr(C, B) << "\n";
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								    VERIFY(C.isApprox(B, static_cast<T>(tol)));
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								  }
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								}
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								template<typename MatrixType>
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								void randomTest(const MatrixType& m, double tol)
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								{
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								  /* this test covers the following files:
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								     Inverse.h
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								  */
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								  typename MatrixType::Index rows = m.rows();
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								  typename MatrixType::Index cols = m.cols();
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								  MatrixType m1(rows, cols), m2(rows, cols), identity = MatrixType::Identity(rows, cols);
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								  typedef typename NumTraits<typename internal::traits<MatrixType>::Scalar>::Real RealScalar;
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								  for(int i = 0; i < g_repeat; i++) {
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								    m1 = MatrixType::Random(rows, cols);
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								    m2 = m1.matrixFunction(expfn) * (-m1).matrixFunction(expfn);
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								    std::cout << "randomTest: error funm = " << relerr(identity, m2);
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								    VERIFY(identity.isApprox(m2, static_cast<RealScalar>(tol)));
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								    m2 = m1.exp() * (-m1).exp();
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								    std::cout << "   error expm = " << relerr(identity, m2) << "\n";
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								    VERIFY(identity.isApprox(m2, static_cast<RealScalar>(tol)));
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								  }
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								}
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								void test_matrix_exponential()
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								{
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								  CALL_SUBTEST_2(test2dRotation<double>(1e-13));
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								  CALL_SUBTEST_1(test2dRotation<float>(2e-5));  // was 1e-5, relaxed for clang 2.8 / linux / x86-64
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								  CALL_SUBTEST_8(test2dRotation<long double>(1e-13)); 
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								  CALL_SUBTEST_2(test2dHyperbolicRotation<double>(1e-14));
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								  CALL_SUBTEST_1(test2dHyperbolicRotation<float>(1e-5));
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								  CALL_SUBTEST_8(test2dHyperbolicRotation<long double>(1e-14));
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								  CALL_SUBTEST_6(testPascal<float>(1e-6));
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								  CALL_SUBTEST_5(testPascal<double>(1e-15));
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								  CALL_SUBTEST_2(randomTest(Matrix2d(), 1e-13));
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								  CALL_SUBTEST_7(randomTest(Matrix<double,3,3,RowMajor>(), 1e-13));
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								  CALL_SUBTEST_3(randomTest(Matrix4cd(), 1e-13));
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								  CALL_SUBTEST_4(randomTest(MatrixXd(8,8), 1e-13));
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								  CALL_SUBTEST_1(randomTest(Matrix2f(), 1e-4));
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								  CALL_SUBTEST_5(randomTest(Matrix3cf(), 1e-4));
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								  CALL_SUBTEST_1(randomTest(Matrix4f(), 1e-4));
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								  CALL_SUBTEST_6(randomTest(MatrixXf(8,8), 1e-4));
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								  CALL_SUBTEST_9(randomTest(Matrix<long double,Dynamic,Dynamic>(7,7), 1e-13));
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								}
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