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-rw-r--r--test/eigen2/eigen2_prec_inverse_4x4.cpp84
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diff --git a/test/eigen2/eigen2_prec_inverse_4x4.cpp b/test/eigen2/eigen2_prec_inverse_4x4.cpp
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+++ b/test/eigen2/eigen2_prec_inverse_4x4.cpp
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+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2009 Benoit Jacob <jacob.benoit.1@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 <Eigen/LU>
+#include <algorithm>
+
+template<typename T> std::string type_name() { return "other"; }
+template<> std::string type_name<float>() { return "float"; }
+template<> std::string type_name<double>() { return "double"; }
+template<> std::string type_name<int>() { return "int"; }
+template<> std::string type_name<std::complex<float> >() { return "complex<float>"; }
+template<> std::string type_name<std::complex<double> >() { return "complex<double>"; }
+template<> std::string type_name<std::complex<int> >() { return "complex<int>"; }
+
+#define EIGEN_DEBUG_VAR(x) std::cerr << #x << " = " << x << std::endl;
+
+template<typename T> inline typename NumTraits<T>::Real epsilon()
+{
+ return std::numeric_limits<typename NumTraits<T>::Real>::epsilon();
+}
+
+template<typename MatrixType> void inverse_permutation_4x4()
+{
+ typedef typename MatrixType::Scalar Scalar;
+ typedef typename MatrixType::RealScalar RealScalar;
+ Vector4i indices(0,1,2,3);
+ for(int i = 0; i < 24; ++i)
+ {
+ MatrixType m = MatrixType::Zero();
+ m(indices(0),0) = 1;
+ m(indices(1),1) = 1;
+ m(indices(2),2) = 1;
+ m(indices(3),3) = 1;
+ MatrixType inv = m.inverse();
+ double error = double( (m*inv-MatrixType::Identity()).norm() / epsilon<Scalar>() );
+ VERIFY(error == 0.0);
+ std::next_permutation(indices.data(),indices.data()+4);
+ }
+}
+
+template<typename MatrixType> void inverse_general_4x4(int repeat)
+{
+ typedef typename MatrixType::Scalar Scalar;
+ typedef typename MatrixType::RealScalar RealScalar;
+ double error_sum = 0., error_max = 0.;
+ for(int i = 0; i < repeat; ++i)
+ {
+ MatrixType m;
+ RealScalar absdet;
+ do {
+ m = MatrixType::Random();
+ absdet = ei_abs(m.determinant());
+ } while(absdet < 10 * epsilon<Scalar>());
+ MatrixType inv = m.inverse();
+ double error = double( (m*inv-MatrixType::Identity()).norm() * absdet / epsilon<Scalar>() );
+ error_sum += error;
+ error_max = std::max(error_max, error);
+ }
+ std::cerr << "inverse_general_4x4, Scalar = " << type_name<Scalar>() << std::endl;
+ double error_avg = error_sum / repeat;
+ EIGEN_DEBUG_VAR(error_avg);
+ EIGEN_DEBUG_VAR(error_max);
+ VERIFY(error_avg < (NumTraits<Scalar>::IsComplex ? 8.0 : 1.25));
+ VERIFY(error_max < (NumTraits<Scalar>::IsComplex ? 64.0 : 20.0));
+}
+
+void test_eigen2_prec_inverse_4x4()
+{
+ CALL_SUBTEST_1((inverse_permutation_4x4<Matrix4f>()));
+ CALL_SUBTEST_1(( inverse_general_4x4<Matrix4f>(200000 * g_repeat) ));
+
+ CALL_SUBTEST_2((inverse_permutation_4x4<Matrix<double,4,4,RowMajor> >()));
+ CALL_SUBTEST_2(( inverse_general_4x4<Matrix<double,4,4,RowMajor> >(200000 * g_repeat) ));
+
+ CALL_SUBTEST_3((inverse_permutation_4x4<Matrix4cf>()));
+ CALL_SUBTEST_3((inverse_general_4x4<Matrix4cf>(50000 * g_repeat)));
+}