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Eigen
3.4.90 (git rev 9589cc4e7fd8e4538bedef80dd36c7738977a8be)
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This module currently provides two variants of the direct sparse Cholesky decomposition for selfadjoint (hermitian) matrices. Those decompositions are accessible via the following classes:
Such problems can also be solved using the ConjugateGradient solver from the IterativeLinearSolvers module.
Classes | |
class | Eigen::SimplicialCholesky< MatrixType_, UpLo_, Ordering_ > |
class | Eigen::SimplicialCholeskyBase< Derived > |
A base class for direct sparse Cholesky factorizations. More... | |
class | Eigen::SimplicialLDLT< MatrixType_, UpLo_, Ordering_ > |
A direct sparse LDLT Cholesky factorizations without square root. More... | |
class | Eigen::SimplicialLLT< MatrixType_, UpLo_, Ordering_ > |
A direct sparse LLT Cholesky factorizations. More... | |
class | Eigen::SimplicialNonHermitianLDLT< MatrixType_, UpLo_, Ordering_ > |
A direct sparse LDLT Cholesky factorizations without square root, for symmetric non-hermitian matrices. More... | |
class | Eigen::SimplicialNonHermitianLLT< MatrixType_, UpLo_, Ordering_ > |
A direct sparse LLT Cholesky factorizations, for symmetric non-hermitian matrices. More... | |