These jobs present the same features to LAPACK, but with a principal interface differing from that of LAPACK:
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LAPACK ("Linear Algebra Deal") is an ordinary program library for numerical linear algebra. It offers routines for solving units of linear equations and linear the very least squares, eigenvalue troubles, and singular value decomposition. Additionally, it features routines to employ the connected matrix factorizations which include LU, QR, Cholesky and Schur decomposition.
g., once the code DI is supplied, the subroutine expects a vector of length n that contains The weather on the diagonal, although if the code GE is specified, the subroutine expects an n×n array containing the entries on the matrix.
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Subroutines in LAPACK have a naming Conference which makes the identifiers pretty compact. This was important as the initial Fortran requirements only supported identifiers up to 6 figures extended, Therefore the names needed to be shortened to fit into this Restrict.[two]: "Naming Scheme"
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mm is a two-letter code denoting the kind of matrix anticipated through the algorithm. The codes for the various sort of matrices are described underneath; the particular data are stored in a unique format dependant upon the unique type; e.
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Considering the fact that LAPACK generally calls fundamental BLAS routines to carry out the majority of its computations, merely linking to a far better-tuned BLAS implementation could be ample to drastically boost overall performance. Due to this fact, LAPACK is not reimplemented as usually as BLAS is. Identical tasks[edit]
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A header library for linear algebra. Contains a BLAS in addition to a partial LAPACK implementation for compatibility.
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