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LAPACK

Base (i.e., lower-level) linear algebra package (LAPACK) routines.

Installation

npm install @stdlib/lapack-base

Alternatively,

• To load the package in a website via a script tag without installation and bundlers, use the ES Module available on the esm branch (see README).
• If you are using Deno, visit the deno branch (see README for usage intructions).
• For use in Observable, or in browser/node environments, use the Universal Module Definition (UMD) build available on the umd branch (see README).

The branches.md file summarizes the available branches and displays a diagram illustrating their relationships.

To view installation and usage instructions specific to each branch build, be sure to explicitly navigate to the respective README files on each branch, as linked to above.

Usage

var lapack = require( '@stdlib/lapack-base' );

lapack

Namespace for "base" (i.e., lower-level) linear algebra package (LAPACK) routines.

var o = lapack;
// returns {...}

The namespace contains the following:

• clacgv( N, cx, strideCX ): conjugate each element in a single-precision complex floating-point vector.
• clacpy( order, uplo, M, N, A, LDA, B, LDB ): copy all or part of a matrix A to another matrix B.
• claset( order, uplo, M, N, alpha, beta, A, LDA ): set the off-diagonal elements and the diagonal elements of a single-precision complex floating-point matrix to specified values.
• claswp( N, A, LDA, k1, k2, IPIV, incx ): perform a series of row interchanges on an input matrix.
• crot( N, cx, strideCX, cy, strideCY, c, s ): apply a plane rotation with real cosine and complex sine to a pair of single-precision complex floating-point vectors.
• dgetrans( order, M, N, A, LDA, out, LDO ): convert a matrix from row-major layout to column-major layout or vice versa.
• dgttrf( N, DL, D, DU, DU2, IPIV ): compute an LU factorization of a real tridiagonal matrix A using elimination with partial pivoting and row interchanges.
• dlacpy( order, uplo, M, N, A, LDA, B, LDB ): copy all or part of a matrix A to another matrix B.
• dladiv( a, b, c, d, P, Q ): divide two double-precision complex floating-point numbers in real arithmetic.
• dlamch( cmach ): determine double-precision floating-point machine parameters.
• dlapy2( x, y ): LAPACK routine to calculate sqrt(x^2 + y^2) in a manner which doesn't cause unnecessary overflow.
• dlapy3( x, y, z ): LAPACK routine to calculate sqrt(x^2 + y^2 + z^2) in a manner which doesn't cause unnecessary overflow.
• dlarf1f( order, side, M, N, V, strideV, tau, C, LDC, work ): apply a real elementary reflector H = I - tau * v * v^T to a real M by N matrix C.
• dlaset( order, uplo, M, N, alpha, beta, A, LDA ): set the off-diagonal elements and the diagonal elements of a double-precision floating-point matrix to specified values.
• dlassq( N, X, strideX, scale, sumsq ): return an updated sum of squares represented in scaled form.
• dlaswp( N, A, LDA, k1, k2, IPIV, incx ): perform a series of row interchanges on an input matrix.
• dpttrf( N, D, E ): compute the L * D * L^T factorization of a real symmetric positive definite tridiagonal matrix A.
• iladlc( order, M, N, A, LDA ): find the index of the last non-zero column in a matrix A.
• iladlr( order, M, N, A, LDA ): find the index of the last non-zero row in a matrix A.
• sgetrans( order, M, N, A, LDA, out, LDO ): convert a matrix from row-major layout to column-major layout or vice versa.
• slacpy( order, uplo, M, N, A, LDA, B, LDB ): copy all or part of a matrix A to another matrix B.
• slaswp( N, A, LDA, k1, k2, IPIV, incx ): perform a series of row interchanges on an input matrix.
• spttrf( N, D, E ): compute the L * D * L^T factorization of a real symmetric positive definite tridiagonal matrix A.
• zlacgv( N, zx, strideZX ): conjugate each element in a double-precision complex floating-point vector.
• zlacpy( order, uplo, M, N, A, LDA, B, LDB ): copy all or part of a matrix A to another matrix B.
• zlaset( order, uplo, M, N, alpha, beta, A, LDA ): set the off-diagonal elements and the diagonal elements of a double-precision complex floating-point matrix to specified values.
• zlaswp( N, A, LDA, k1, k2, IPIV, incx ): perform a series of row interchanges on an input matrix.
• zrot( N, zx, strideX, zy, strideY, c, s ): apply a plane rotation with real cosine and complex sine to a pair of double-precision complex floating-point vectors.

Examples

var objectKeys = require( '@stdlib/utils-keys' );
var lapack = require( '@stdlib/lapack-base' );

console.log( objectKeys( lapack ) );

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Notice

This package is part of stdlib, a standard library for JavaScript and Node.js, with an emphasis on numerical and scientific computing. The library provides a collection of robust, high performance libraries for mathematics, statistics, streams, utilities, and more.

For more information on the project, filing bug reports and feature requests, and guidance on how to develop stdlib, see the main project repository.

Community

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License

See LICENSE.

Copyright

Copyright © 2016-2026. The Stdlib Authors.