determinant.cpp File Reference
#include "main.h"
#include <Eigen/LU>

Functions

template<typename MatrixType >
void determinant (const MatrixType &m)
 
 EIGEN_DECLARE_TEST (determinant)
 

Function Documentation

◆ determinant()

template<typename MatrixType >
void determinant ( const MatrixType m)
15  {
16  /* this test covers the following files:
17  Determinant.h
18  */
19  Index size = m.rows();
20 
22  m1.setRandom();
23  m2.setRandom();
24  typedef typename MatrixType::Scalar Scalar;
25  Scalar x = internal::random<Scalar>();
26  VERIFY_IS_APPROX(MatrixType::Identity(size, size).determinant(), Scalar(1));
27  VERIFY_IS_APPROX((m1 * m2).eval().determinant(), m1.determinant() * m2.determinant());
28  if (size == 1) return;
29  Index i = internal::random<Index>(0, size - 1);
30  Index j;
31  do {
32  j = internal::random<Index>(0, size - 1);
33  } while (j == i);
34  m2 = m1;
35  m2.row(i).swap(m2.row(j));
36  VERIFY_IS_APPROX(m2.determinant(), -m1.determinant());
37  m2 = m1;
38  m2.col(i).swap(m2.col(j));
39  VERIFY_IS_APPROX(m2.determinant(), -m1.determinant());
40  VERIFY_IS_APPROX(m2.determinant(), m2.transpose().determinant());
41  VERIFY_IS_APPROX(numext::conj(m2.determinant()), m2.adjoint().determinant());
42  m2 = m1;
43  m2.row(i) += x * m2.row(j);
44  VERIFY_IS_APPROX(m2.determinant(), m1.determinant());
45  m2 = m1;
46  m2.row(i) *= x;
47  VERIFY_IS_APPROX(m2.determinant(), m1.determinant() * x);
48 
49  // check empty matrix
50  VERIFY_IS_APPROX(m2.block(0, 0, 0, 0).determinant(), Scalar(1));
51 }
AnnoyingScalar conj(const AnnoyingScalar &x)
Definition: AnnoyingScalar.h:133
int i
Definition: BiCGSTAB_step_by_step.cpp:9
Matrix3d m1
Definition: IOFormat.cpp:2
MatrixType m2(n_dims)
Scalar Scalar int size
Definition: benchVecAdd.cpp:17
SCALAR Scalar
Definition: bench_gemm.cpp:45
MatrixXf MatrixType
Definition: benchmark-blocking-sizes.cpp:52
void determinant(const MatrixType &m)
Definition: determinant.cpp:15
#define VERIFY_IS_APPROX(a, b)
Definition: integer_types.cpp:13
int * m
Definition: level2_cplx_impl.h:294
EIGEN_DEFAULT_DENSE_INDEX_TYPE Index
The Index type as used for the API.
Definition: Meta.h:83
list x
Definition: plotDoE.py:28
internal::nested_eval< T, 1 >::type eval(const T &xpr)
Definition: sparse_permutations.cpp:47
std::ptrdiff_t j
Definition: tut_arithmetic_redux_minmax.cpp:2

References conj(), eval(), i, j, m, m1, m2(), size, VERIFY_IS_APPROX, and plotDoE::x.

Referenced by Eigen::MatrixBase< Derived >::computeInverseAndDetWithCheck(), Eigen::Transform< Scalar_, Dim_, Mode_, Options_ >::computeRotationScaling(), Eigen::Transform< Scalar_, Dim_, Mode_, Options_ >::computeScalingRotation(), EIGEN_DECLARE_TEST(), randomRotationMatrix(), Eigen::internal::compute_inverse_and_det_with_check< MatrixType, ResultType, 2 >::run(), Eigen::internal::compute_inverse_and_det_with_check< MatrixType, ResultType, 3 >::run(), Eigen::internal::compute_inverse_and_det_with_check< MatrixType, ResultType, 4 >::run(), and Eigen::internal::compute_inverse_and_det_with_check< MatrixType, ResultType, 1 >::run().

◆ EIGEN_DECLARE_TEST()

EIGEN_DECLARE_TEST ( determinant  )
53  {
54  for (int i = 0; i < g_repeat; i++) {
55  int s = 0;
60  CALL_SUBTEST_5(determinant(Matrix<std::complex<double>, 10, 10>()));
61  s = internal::random<int>(1, EIGEN_TEST_MAX_SIZE / 4);
62  CALL_SUBTEST_6(determinant(MatrixXd(s, s)));
64  }
65 }
#define EIGEN_TEST_MAX_SIZE
Definition: boostmultiprec.cpp:16
The matrix class, also used for vectors and row-vectors.
Definition: Eigen/Eigen/src/Core/Matrix.h:186
RealScalar s
Definition: level1_cplx_impl.h:130
#define TEST_SET_BUT_UNUSED_VARIABLE(X)
Definition: main.h:139
static int g_repeat
Definition: main.h:191
#define CALL_SUBTEST_6(FUNC)
Definition: split_test_helper.h:34
#define CALL_SUBTEST_3(FUNC)
Definition: split_test_helper.h:16
#define CALL_SUBTEST_1(FUNC)
Definition: split_test_helper.h:4
#define CALL_SUBTEST_5(FUNC)
Definition: split_test_helper.h:28
#define CALL_SUBTEST_2(FUNC)
Definition: split_test_helper.h:10
#define CALL_SUBTEST_4(FUNC)
Definition: split_test_helper.h:22

References CALL_SUBTEST_1, CALL_SUBTEST_2, CALL_SUBTEST_3, CALL_SUBTEST_4, CALL_SUBTEST_5, CALL_SUBTEST_6, determinant(), EIGEN_TEST_MAX_SIZE, Eigen::g_repeat, i, s, and TEST_SET_BUT_UNUSED_VARIABLE.