@stdlib/blas-base
v0.2.1
Published
Base (i.e., lower-level) basic linear algebra subprograms (BLAS).
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BLAS
Base (i.e., lower-level) basic linear algebra subprograms (BLAS).
Installation
npm install @stdlib/blas-base
Usage
var blas = require( '@stdlib/blas-base' );
blas
Namespace for "base" (i.e., lower-level) basic linear algebra subprograms (BLAS).
var o = blas;
// returns {...}
BLAS Level 1
ccopy( N, x, strideX, y, strideY )
: copy values from one complex single-precision floating-point vector to another complex single-precision floating-point vector.cswap( N, x, strideX, y, strideY )
: interchange two complex single-precision floating-point vectors.dasum( N, x, stride )
: compute the sum of absolute values (L1 norm).daxpy( N, alpha, x, strideX, y, strideY )
: multiply a vectorx
by a constantalpha
and add the result toy
.dcopy( N, x, strideX, y, strideY )
: copy values fromx
intoy
.ddot( N, x, strideX, y, strideY )
: calculate the dot product of two double-precision floating-point vectors.dnrm2( N, x, stride )
: calculate the L2-norm of a double-precision floating-point vector.drotg( a, b )
: construct a Givens plane rotation.dscal( N, alpha, x, stride )
: multiply a double-precision floating-point vectorx
by a constantalpha
.dsdot( N, x, strideX, y, strideY )
: calculate the dot product with extended accumulation and result of two single-precision floating-point vectors.dswap( N, x, strideX, y, strideY )
: interchange two double-precision floating-point vectors.gasum( N, x, stride )
: compute the sum of absolute values (L1 norm).gaxpy( N, alpha, x, strideX, y, strideY )
: multiplyx
by a constantalpha
and add the result toy
.gcopy( N, x, strideX, y, strideY )
: copy values fromx
intoy
.gdot( N, x, strideX, y, strideY )
: calculate the dot product of two vectors.gnrm2( N, x, stride )
: calculate the L2-norm of a vector.gscal( N, alpha, x, stride )
: multiply a vectorx
by a constantalpha
.gswap( N, x, strideX, y, strideY )
: interchange two vectors.sasum( N, x, stride )
: compute the sum of absolute values (L1 norm).saxpy( N, alpha, x, strideX, y, strideY )
: multiply a vectorx
by a constantalpha
and add the result toy
.scopy( N, x, strideX, y, strideY )
: copy values fromx
intoy
.sdot( N, x, strideX, y, strideY )
: calculate the dot product of two single-precision floating-point vectors.sdsdot( N, scalar, x, strideX, y, strideY )
: calculate the dot product of two single-precision floating-point vectors with extended accumulation.snrm2( N, x, stride )
: calculate the L2-norm of a single-precision floating-point vector.srotg( a, b )
: construct a Givens plane rotation.sscal( N, alpha, x, stride )
: multiply a single-precision floating-point vectorx
by a constantalpha
.sswap( N, x, strideX, y, strideY )
: interchange two single-precision floating-point vectors.
Auxiliary BLAS
Examples
var objectKeys = require( '@stdlib/utils-keys' );
var blas = require( '@stdlib/blas-base' );
console.log( objectKeys( blas ) );
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
License
See LICENSE.
Copyright
Copyright © 2016-2024. The Stdlib Authors.