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Linear algebra: Expose the remaining classes listed in Eigen documentation (decompositions and solvers) #571
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Linear algebra: Expose the remaining classes listed in Eigen documentation (decompositions and solvers) #571
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…d put MINRES in capital letters
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+[](QTransposeType& self, const VectorXd& other) -> VectorXd { | ||
return VectorXd(self * other); | ||
}, | ||
bp::args("self", "other")); |
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Can we convert the SparseQRMatrixQTransposeReturnTypeVisitor (and all other view) to a generic sparse matrix ?
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Yes, but even when the source code refers to the same intermediate class (as a return type) (struct SparseQRMatrixQTransposeReturnType
).
For other views, they concern SparseLU.hpp
and contain solveInPlace
methods.
…ER following pinocchio
This (draft) PR aims at adding the remaining classes in Eigen that we plan to use in practice.
This PR is proposed jointly with the one in nanoeigenpy (Simple-Robotics/nanoeigenpy#13).
What follows if the list of classes treated in this work:
<Eigen/LU>
:FullPivLU
<Eigen/LU>
:PartialPivLU
<Eigen/SVD>
:JacobiSVD
<Eigen/SVD>
:BDCSVD
<Eigen/Eigenvalues>
:ComplexEigenSolver
<Eigen/Eigenvalues>
:GeneralizedEigenSolver
<Eigen/Eigenvalues>
:GeneralizedSelfAdjointSolver
<Eigen/Eigenvalues>
:HessenbergDecomposition
<Eigen/Eigenvalues>
:RealQZ
<Eigen/Eigenvalues>
:RealSchur
<Eigen/Eigenvalues>
:ComplexSchur
<Eigen/Eigenvalues>
:Tridiagonalization
<Eigen/SparseLU>
:SparseLU
<Eigen/SparseQR>
:SparseQR
<Eigen/IterativeLinearSolvers>
:BiCGSTAB
<Eigen/IterativeLinearSolvers>
:IncompleteLUT
<Eigen/IterativeLinearSolvers>
:IncompleteCholesky