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Interchange two double-precision floating-point vectors.
import dswap from 'https://cdn.jsdelivr.net/gh/stdlib-js/blas-dswap@deno/mod.js';Interchanges two double-precision floating-point vectors x and y.
import Float64Array from 'https://cdn.jsdelivr.net/gh/stdlib-js/array-float64@deno/mod.js';
import array from 'https://cdn.jsdelivr.net/gh/stdlib-js/ndarray-array@deno/mod.js';
var x = array( new Float64Array( [ 4.0, 2.0, -3.0, 5.0, -1.0 ] ) );
var y = array( new Float64Array( [ 2.0, 6.0, -1.0, -4.0, 8.0 ] ) );
dswap( x, y );
var xbuf = x.data;
// returns <Float64Array>[ 2.0, 6.0, -1.0, -4.0, 8.0 ]
var ybuf = y.data;
// returns <Float64Array>[ 4.0, 2.0, -3.0, 5.0, -1.0 ]The function has the following parameters:
- x: a non-zero-dimensional
ndarraywhose underlying data type isfloat64. Must have the same shape asy. - y: a non-zero-dimensional
ndarraywhose underlying data type isfloat64. Must have the same shape asx. - dim: dimension along which to interchange vectors. Must be a negative integer. Negative indices are resolved relative to the last array dimension, with the last dimension corresponding to
-1. Default:-1.
For multi-dimensional input ndarrays, the function performs batched computation, such that the function interchanges each pair of vectors in x and y according to the specified dimension index.
import Float64Array from 'https://cdn.jsdelivr.net/gh/stdlib-js/array-float64@deno/mod.js';
import array from 'https://cdn.jsdelivr.net/gh/stdlib-js/ndarray-array@deno/mod.js';
var opts = {
'shape': [ 2, 3 ]
};
var x = array( new Float64Array( [ 4.0, 2.0, -3.0, 5.0, -1.0, 3.0 ] ), opts );
var y = array( new Float64Array( [ 2.0, 6.0, -1.0, -4.0, 8.0, 2.0 ] ), opts );
var v1 = x.get( 0, 0 );
// returns 4.0
var v2 = y.get( 0, 0 );
// returns 2.0
dswap( x, y );
v1 = x.get( 0, 0 );
// returns 2.0
v2 = y.get( 0, 0 );
// returns 4.0- Both input
ndarraysmust have the same shape. - Negative indices are resolved relative to the last
ndarraydimension, with the last dimension corresponding to-1. - For multi-dimensional
ndarrays, batched computation effectively means swapping all ofxwith all ofy; however, the choice ofdimwill significantly affect performance. For best performance, specify adimwhich best aligns with the memory layout of providedndarrays. dswap()provides a higher-level interface to the BLAS level 1 functiondswap.
import discreteUniform from 'https://cdn.jsdelivr.net/gh/stdlib-js/random-array-discrete-uniform@deno/mod.js';
import ndarray2array from 'https://cdn.jsdelivr.net/gh/stdlib-js/ndarray-to-array@deno/mod.js';
import array from 'https://cdn.jsdelivr.net/gh/stdlib-js/ndarray-array@deno/mod.js';
import dswap from 'https://cdn.jsdelivr.net/gh/stdlib-js/blas-dswap@deno/mod.js';
var opts = {
'dtype': 'float64'
};
var x = array( discreteUniform( 10, 0, 100, opts ), {
'shape': [ 5, 2 ]
});
console.log( ndarray2array( x ) );
var y = array( discreteUniform( 10, 0, 10, opts ), {
'shape': x.shape
});
console.log( ndarray2array( y ) );
dswap( x, y );
console.log( ndarray2array( x ) );
console.log( ndarray2array( y ) );@stdlib/blas-base/dswap: interchange two double-precision floating-point vectors.@stdlib/blas-gswap: interchange two vectors.@stdlib/blas-sswap: interchange two single-precision floating-point vectors.
This package is part of stdlib, a standard library 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.
See LICENSE.
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