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src/solvers/cholmod.jl

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@@ -1506,8 +1506,8 @@ end
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Compute the Cholesky (``LL'``) factorization of `A`, reusing the symbolic
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factorization `F`. `A` must be a [`SparseMatrixCSC`](@ref) or a [`Symmetric`](@ref)/
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[`Hermitian`](@ref) view of a `SparseMatrixCSC`. Note that even if `A` doesn't
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have the type tag, it must still be symmetric or Hermitian.
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[`Hermitian`](@ref) view of a `SparseMatrixCSC`. Note that if `A` doesn't
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have the type tag, it must itself be symmetric or Hermitian.
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See also [`cholesky`](@ref).
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Compute the Cholesky factorization of a sparse positive definite matrix `A`.
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`A` must be a [`SparseMatrixCSC`](@ref) or a [`Symmetric`](@ref)/[`Hermitian`](@ref)
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view of a `SparseMatrixCSC`. Note that even if `A` doesn't
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have the type tag, it must still be symmetric or Hermitian.
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view of a `SparseMatrixCSC`. Note that if `A` doesn't
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have the type tag, it must itself be symmetric or Hermitian.
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If `perm` is not given, a fill-reducing permutation is used.
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`F = cholesky(A)` is most frequently used to solve systems of equations with `F\\b`,
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but also the methods [`diag`](@ref), [`det`](@ref), and
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Compute the ``LDL'`` factorization of `A`, reusing the symbolic factorization `F`.
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`A` must be a [`SparseMatrixCSC`](@ref) or a [`Symmetric`](@ref)/[`Hermitian`](@ref)
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view of a `SparseMatrixCSC`. Note that even if `A` doesn't
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have the type tag, it must still be symmetric or Hermitian.
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view of a `SparseMatrixCSC`. Note that if `A` doesn't
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have the type tag, it must itself be symmetric or Hermitian.
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See also [`ldlt`](@ref).
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@@ -1718,8 +1718,8 @@ end
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Compute the ``LDL'`` factorization of a sparse matrix `A`.
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`A` must be a [`SparseMatrixCSC`](@ref) or a [`Symmetric`](@ref)/[`Hermitian`](@ref)
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view of a `SparseMatrixCSC`. Note that even if `A` doesn't
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have the type tag, it must still be symmetric or Hermitian.
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view of a `SparseMatrixCSC`. Note that if `A` doesn't
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have the type tag, it must itself be symmetric or Hermitian.
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A fill-reducing permutation is used. `F = ldlt(A)` is most frequently
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used to solve systems of equations `A*x = b` with `F\\b`. The returned
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factorization object `F` also supports the methods [`diag`](@ref),

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