# abs2 > Compute the squared [absolute value][absolute-value] for each element in a strided array.
## Usage ```javascript var abs2 = require( '@stdlib/math/strided/special/abs2' ); ``` #### abs2( N, x, strideX, y, strideY ) Computes the squared [absolute value][absolute-value] for each element in `x` and assigns the results to elements in `y`. ```javascript var Float64Array = require( '@stdlib/array/float64' ); var x = new Float64Array( [ -2.0, 1.0, 3.0, -5.0, 4.0, 0.0, -1.0, -3.0 ] ); // Compute the squared absolute values in-place: abs2( x.length, x, 1, x, 1 ); // x => [ 4.0, 1.0, 9.0, 25.0, 16.0, 0.0, 1.0, 9.0 ] ``` The function accepts the following arguments: - **N**: number of indexed elements. - **x**: input array-like object. - **strideX**: index increment for `x`. - **y**: output array-like object. - **strideY**: index increment for `y`. The `N` and `stride` parameters determine which elements in `x` and `y` are accessed at runtime. For example, to index every other value in `x` and the first `N` elements of `y` in reverse order, ```javascript var Float64Array = require( '@stdlib/array/float64' ); var floor = require( '@stdlib/math/base/special/floor' ); var x = new Float64Array( [ -1.0, -2.0, -3.0, -4.0, -5.0, -6.0 ] ); var y = new Float64Array( [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ] ); var N = floor( x.length / 2 ); abs2( N, x, 2, y, -1 ); // y => [ 25.0, 9.0, 1.0, 0.0, 0.0, 0.0 ] ``` Note that indexing is relative to the first index. To introduce an offset, use [`typed array`][mdn-typed-array] views. ```javascript var Float64Array = require( '@stdlib/array/float64' ); var floor = require( '@stdlib/math/base/special/floor' ); // Initial arrays... var x0 = new Float64Array( [ -1.0, -2.0, -3.0, -4.0, -5.0, -6.0 ] ); var y0 = new Float64Array( [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ] ); // Create offset views... var x1 = new Float64Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 ); // start at 2nd element var y1 = new Float64Array( y0.buffer, y0.BYTES_PER_ELEMENT*3 ); // start at 4th element var N = floor( x0.length / 2 ); abs2( N, x1, -2, y1, 1 ); // y0 => [ 0.0, 0.0, 0.0, 36.0, 16.0, 4.0 ] ``` #### abs2.ndarray( N, x, strideX, offsetX, y, strideY, offsetY ) Computes the squared [absolute value][absolute-value] for each element in `x` and assigns the result to an element in `y` using alternative indexing semantics. ```javascript var Float64Array = require( '@stdlib/array/float64' ); var x = new Float64Array( [ -1.0, -2.0, -3.0, -4.0, -5.0 ] ); var y = new Float64Array( [ 0.0, 0.0, 0.0, 0.0, 0.0 ] ); abs2.ndarray( x.length, x, 1, 0, y, 1, 0 ); // y => [ 1.0, 4.0, 9.0, 16.0, 25.0 ] ``` The function accepts the following additional arguments: - **offsetX**: starting index for `x`. - **offsetY**: starting index for `y`. While [`typed array`][mdn-typed-array] views mandate a view offset based on the underlying `buffer`, the `offsetX` and `offsetY` parameters support indexing semantics based on starting indices. For example, to index every other value in `x` starting from the second value and to index the last `N` elements in `y`, ```javascript var Float64Array = require( '@stdlib/array/float64' ); var floor = require( '@stdlib/math/base/special/floor' ); var x = new Float64Array( [ -1.0, -2.0, -3.0, -4.0, -5.0, -6.0 ] ); var y = new Float64Array( [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ] ); var N = floor( x.length / 2 ); abs2.ndarray( N, x, 2, 1, y, -1, y.length-1 ); // y => [ 0.0, 0.0, 0.0, 36.0, 16.0, 4.0 ] ```
## Notes - For output strided arrays having an integer data type, be careful of overflow, as overflow can lead to unexpected results.
## Examples ```javascript var discreteUniform = require( '@stdlib/random/base/discrete-uniform' ).factory; var filledarray = require( '@stdlib/array/filled' ); var dtypes = require( '@stdlib/array/dtypes' ); var gfillBy = require( '@stdlib/blas/ext/base/gfill-by' ); var abs2 = require( '@stdlib/math/strided/special/abs2' ); var dt; var x; var y; var i; dt = dtypes(); for ( i = 0; i < dt.length; i++ ) { x = filledarray( 0.0, 10, dt[ i ] ); gfillBy( x.length, x, 1, discreteUniform( -10, 10 ) ); console.log( x ); y = filledarray( 0.0, x.length, dt[ i ] ); console.log( y ); abs2.ndarray( x.length, x, 1, 0, y, -1, y.length-1 ); console.log( y ); console.log( '' ); } ```