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12 #include <Eigen/Cholesky>
17 template<
typename DecType,
typename MatrixType>
void inplace(
bool square =
false,
bool SPD =
false)
27 RhsType
b = RhsType::Random(
rows);
34 A.diagonal().array() += 1
e-3;
LU decomposition of a matrix with partial pivoting, and related features.
Array< double, 1, 3 > e(1./3., 0.5, 2.)
#define VERIFY_IS_EQUAL(a, b)
set noclip points set clip one set noclip two set bar set border lt lw set xdata set ydata set zdata set x2data set y2data set boxwidth set dummy x
LU decomposition of a matrix with complete pivoting, and related features.
Matrix< SCALARA, Dynamic, Dynamic, opt_A > A
#define CALL_SUBTEST_4(FUNC)
#define VERIFY_IS_NOT_APPROX(a, b)
#define CALL_SUBTEST_3(FUNC)
Householder rank-revealing QR decomposition of a matrix with full pivoting.
#define CALL_SUBTEST_1(FUNC)
void inplace(bool square=false, bool SPD=false)
const EIGEN_DEVICE_FUNC SquareReturnType square() const
#define CALL_SUBTEST_5(FUNC)
Complete orthogonal decomposition (COD) of a matrix.
Robust Cholesky decomposition of a matrix with pivoting.
Householder rank-revealing QR decomposition of a matrix with column-pivoting.
#define CALL_SUBTEST_6(FUNC)
#define CALL_SUBTEST_2(FUNC)
#define VERIFY_IS_APPROX(a, b)
Standard Cholesky decomposition (LL^T) of a matrix and associated features.
A matrix or vector expression mapping an existing expression.
#define EIGEN_TEST_MAX_SIZE
The matrix class, also used for vectors and row-vectors.
#define CALL_SUBTEST_7(FUNC)
#define CALL_SUBTEST_8(FUNC)
EIGEN_DECLARE_TEST(inplace_decomposition)
Householder QR decomposition of a matrix.
EIGEN_DEFAULT_DENSE_INDEX_TYPE Index
The Index type as used for the API.
gtsam
Author(s):
autogenerated on Fri Nov 1 2024 03:32:46