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+ //! Factorize positive-definite symmetric/Hermitian matrices using Cholesky algorithm
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use super :: * ;
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use crate :: { error:: * , layout:: * } ;
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use cauchy:: * ;
Original file line number Diff line number Diff line change @@ -228,8 +228,6 @@ pub trait Lapack: OperatorNorm_ + Triangular_ + Tridiagonal_ + Rcond_ {
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/// 1. Factorize given matrix $A$ into upper ($U$) or lower ($L$) form with diagonal matrix $D$
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/// 2. Then solve linear equation $Ax = b$, and/or calculate inverse matrix $A^{-1}$
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///
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- /// [BK]: https://doi.org/10.2307/2005787
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- ///
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fn bk ( l : MatrixLayout , uplo : UPLO , a : & mut [ Self ] ) -> Result < Pivot > ;
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/// Compute inverse matrix $A^{-1}$ using the result of [Lapack::bk]
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+ //! Factorize symmetric/Hermitian matrix using [Bunch-Kaufman diagonal pivoting method][BK]
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+ //!
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+ //! [BK]: https://doi.org/10.2307/2005787
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+ //!
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+
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use crate :: { error:: * , layout:: MatrixLayout , * } ;
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use cauchy:: * ;
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use num_traits:: { ToPrimitive , Zero } ;
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