README.md

daxpb

Multiply each element in a one-dimensional double-precision floating-point ndarray by a scalar constant and add a scalar constant to each result.

Usage

var daxpb = require( '@stdlib/blas/ext/base/ndarray/daxpb' );

daxpb( arrays )

Multiplies each element in a one-dimensional double-precision floating-point ndarray by a scalar constant and adds a scalar constant to each result.

var Float64Vector = require( '@stdlib/ndarray/vector/float64' );
var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );

var x = new Float64Vector( [ -2.0, 1.0, 3.0, -5.0, 4.0, 0.0, -1.0, -3.0 ] );

var alpha = scalar2ndarray( 5.0, {
    'dtype': 'float64'
});

var beta = scalar2ndarray( 3.0, {
    'dtype': 'float64'
});

daxpb( [ x, alpha, beta ] );
// x => <ndarray>[ -7.0, 8.0, 18.0, -22.0, 23.0, 3.0, -2.0, -12.0 ]

The function has the following parameters:

• arrays: array-like object containing the following ndarrays:

  • a one-dimensional input ndarray.
  • a zero-dimensional ndarray containing the scalar constant to multiply.
  • a zero-dimensional ndarray containing the scalar constant to add.

Notes

• The input ndarray is modified in-place (i.e., the input ndarray is mutated).

Examples

var discreteUniform = require( '@stdlib/random/discrete-uniform' );
var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
var ndarray2array = require( '@stdlib/ndarray/to-array' );
var ndarraylike2scalar = require( '@stdlib/ndarray/base/ndarraylike2scalar' );
var daxpb = require( '@stdlib/blas/ext/base/ndarray/daxpb' );

var opts = {
    'dtype': 'float64'
};

var x = discreteUniform( [ 10 ], -100, 100, opts );
console.log( ndarray2array( x ) );

var alpha = scalar2ndarray( 5.0, opts );
console.log( 'Alpha: %d', ndarraylike2scalar( alpha ) );

var beta = scalar2ndarray( 3.0, opts );
console.log( 'Beta: %d', ndarraylike2scalar( beta ) );

daxpb( [ x, alpha, beta ] );
console.log( ndarray2array( x ) );