Multiply a one-dimensional double-precision complex floating-point ndarray by a scalar constant.
var zscal = require( '@stdlib/blas/base/ndarray/zscal' );Multiplies a one-dimensional double-precision complex floating-point ndarray by a scalar constant.
var Complex128Vector = require( '@stdlib/ndarray/vector/complex128' );
var Complex128 = require( '@stdlib/complex/float64/ctor' );
var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
var x = new Complex128Vector( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
var alpha = scalar2ndarray( new Complex128( 2.0, 0.0 ), {
'dtype': 'complex128'
});
var y = zscal( [ x, alpha ] );
// returns <ndarray>[ <Complex128>[ 2.0, 4.0 ], <Complex128>[ 6.0, 8.0 ], <Complex128>[ 10.0, 12.0 ] ]
var bool = ( y === x );
// returns trueThe function has the following parameters:
-
arrays: array-like object containing the following ndarrays:
- a one-dimensional input ndarray.
- a zero-dimensional ndarray containing a scalar constant.
var discreteUniform = require( '@stdlib/random/array/discrete-uniform' );
var Complex128Vector = require( '@stdlib/ndarray/vector/complex128' );
var Complex128 = require( '@stdlib/complex/float64/ctor' );
var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
var ndarray2array = require( '@stdlib/ndarray/to-array' );
var zscal = require( '@stdlib/blas/base/ndarray/zscal' );
var opts = {
'dtype': 'float64'
};
var x = new Complex128Vector( discreteUniform( 10, 0, 100, opts ) );
console.log( ndarray2array( x ) );
var alpha = scalar2ndarray( new Complex128( 2.0, 0.0 ), {
'dtype': 'complex128'
});
var out = zscal( [ x, alpha ] );
console.log( ndarray2array( out ) );