Multiply a one-dimensional single-precision floating-point ndarray
xby a constantalphaand add the result to a one-dimensional single-precision floating-point ndarrayy.
var saxpy = require( '@stdlib/blas/base/ndarray/saxpy' );Multiplies a one-dimensional single-precision floating-point ndarray x by a constant alpha and adds the result to a one-dimensional single-precision floating-point ndarray y.
var Float32Vector = require( '@stdlib/ndarray/vector/float32' );
var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
var x = new Float32Vector( [ 1.0, 2.0, 3.0, 4.0, 5.0 ] );
var y = new Float32Vector( [ 1.0, 1.0, 1.0, 1.0, 1.0 ] );
var alpha = scalar2ndarray( 5.0, {
'dtype': 'float32'
});
var z = saxpy( [ x, y, alpha ] );
// returns <ndarray>[ 6.0, 11.0, 16.0, 21.0, 26.0 ]
var bool = ( z === y );
// returns trueThe function has the following parameters:
-
arrays: array-like object containing the following ndarrays:
- a one-dimensional input ndarray.
- a one-dimensional output ndarray.
- a zero-dimensional ndarray containing a scalar constant.
var discreteUniform = require( '@stdlib/random/discrete-uniform' );
var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
var ndarray2array = require( '@stdlib/ndarray/to-array' );
var saxpy = require( '@stdlib/blas/base/ndarray/saxpy' );
var opts = {
'dtype': 'float32'
};
var x = discreteUniform( [ 10 ], 0, 100, opts );
console.log( ndarray2array( x ) );
var y = discreteUniform( [ 10 ], 0, 10, opts );
console.log( ndarray2array( y ) );
var alpha = scalar2ndarray( 5.0, opts );
var out = saxpy( [ x, y, alpha ] );
console.log( ndarray2array( out ) );