| /external/eigen/Eigen/src/Cholesky/ |
| LDLT.h | 24 * \class LDLT
43 * \sa MatrixBase::ldlt(), class LLT
45 template<typename _MatrixType, int _UpLo> class LDLT
70 * perform decompositions via LDLT::compute(const MatrixType&).
72 LDLT() : m_matrix(), m_transpositions(), m_isInitialized(false) {}
78 * \sa LDLT()
80 LDLT(Index size)
90 * \sa LDLT(Index size)
92 LDLT(const MatrixType& matrix)
112 eigen_assert(m_isInitialized && "LDLT is not initialized.")
575 SelfAdjointView<MatrixType, UpLo>::ldlt() const function in class:Eigen::SelfAdjointView
585 MatrixBase<Derived>::ldlt() const function in class:Eigen::MatrixBase
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| /external/eigen/test/ |
| nomalloc.cpp | 128 Eigen::LDLT<Matrix> LDLT; LDLT.compute(A);
129 X = LDLT.solve(B);
130 x = LDLT.solve(b);
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| cholesky.cpp | 65 LLT.h LDLT.h
119 // LDLT
131 LDLT<SquareMatrixType,Lower> ldltlo(symmLo);
138 LDLT<SquareMatrixType,Upper> ldltup(symmUp);
187 CALL_SUBTEST(( test_chol_update<SquareMatrixType,LDLT>(symm) ));
229 // LDLT
240 LDLT<RealMatrixType,Lower> ldltlo(symmLo);
261 VectorType vecX = matA.ldlt().solve(vecB);
275 LDLT<MatrixType> ldlt; local
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| /external/eigen/test/eigen2/ |
| eigen2_cholesky.cpp | 22 LLT.h LDLT.h
69 LDLT<SquareMatrixType> ldlt(symm);
70 VERIFY(ldlt.isPositiveDefinite());
71 // in eigen3, LDLT is pivoting
72 //VERIFY_IS_APPROX(symm, ldlt.matrixL() * ldlt.vectorD().asDiagonal() * ldlt.matrixL().adjoint());
73 ldlt.solve(vecB, &vecX);
75 ldlt.solve(matB, &matX)
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| /external/eigen/bench/ |
| benchCholesky.cpp | 59 LDLT<SquareMatrixType> cholnosqrt(covMat);
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| /external/eigen/Eigen/src/Core/ |
| SelfAdjointView.h | 153 const LDLT<PlainObject, UpLo> ldlt() const;
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| MatrixBase.h | 365 const LDLT<PlainObject> ldlt() const;
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| /external/eigen/Eigen/src/Core/util/ |
| ForwardDeclarations.h | 227 template<typename MatrixType, int UpLo = Lower> class LDLT;
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| /external/ceres-solver/docs/ |
| changes.tex | 97 LDLT factorization on the normal equations.
|
| solving.tex | 250 \texttt{Eigen}'s dense LDLT factorization routines.
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