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diff --git a/test/determinant.cpp b/test/determinant.cpp
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+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2008 Benoit Jacob <jacob.benoit.1@gmail.com>
+// Copyright (C) 2008 Gael Guennebaud <gael.guennebaud@inria.fr>
+//
+// 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>
+
+template<typename MatrixType> void determinant(const MatrixType& m)
+{
+ /* this test covers the following files:
+ Determinant.h
+ */
+ typedef typename MatrixType::Index Index;
+ Index size = m.rows();
+
+ MatrixType m1(size, size), m2(size, size);
+ m1.setRandom();
+ m2.setRandom();
+ typedef typename MatrixType::Scalar Scalar;
+ Scalar x = internal::random<Scalar>();
+ VERIFY_IS_APPROX(MatrixType::Identity(size, size).determinant(), Scalar(1));
+ VERIFY_IS_APPROX((m1*m2).eval().determinant(), m1.determinant() * m2.determinant());
+ if(size==1) return;
+ Index i = internal::random<Index>(0, size-1);
+ Index j;
+ do {
+ j = internal::random<Index>(0, size-1);
+ } while(j==i);
+ m2 = m1;
+ m2.row(i).swap(m2.row(j));
+ VERIFY_IS_APPROX(m2.determinant(), -m1.determinant());
+ m2 = m1;
+ m2.col(i).swap(m2.col(j));
+ VERIFY_IS_APPROX(m2.determinant(), -m1.determinant());
+ VERIFY_IS_APPROX(m2.determinant(), m2.transpose().determinant());
+ VERIFY_IS_APPROX(internal::conj(m2.determinant()), m2.adjoint().determinant());
+ m2 = m1;
+ m2.row(i) += x*m2.row(j);
+ VERIFY_IS_APPROX(m2.determinant(), m1.determinant());
+ m2 = m1;
+ m2.row(i) *= x;
+ VERIFY_IS_APPROX(m2.determinant(), m1.determinant() * x);
+
+ // check empty matrix
+ VERIFY_IS_APPROX(m2.block(0,0,0,0).determinant(), Scalar(1));
+}
+
+void test_determinant()
+{
+ int s;
+ for(int i = 0; i < g_repeat; i++) {
+ CALL_SUBTEST_1( determinant(Matrix<float, 1, 1>()) );
+ CALL_SUBTEST_2( determinant(Matrix<double, 2, 2>()) );
+ CALL_SUBTEST_3( determinant(Matrix<double, 3, 3>()) );
+ CALL_SUBTEST_4( determinant(Matrix<double, 4, 4>()) );
+ CALL_SUBTEST_5( determinant(Matrix<std::complex<double>, 10, 10>()) );
+ s = internal::random<int>(1,EIGEN_TEST_MAX_SIZE/4);
+ CALL_SUBTEST_6( determinant(MatrixXd(s, s)) );
+ }
+ EIGEN_UNUSED_VARIABLE(s)
+}