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    @stdlib/math-strided-special-ramp
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    0.0.5 • Public • Published

    ramp

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    Evaluate the ramp function for each element in a strided array.

    The ramp function is defined as

    Ramp function.

    or, alternatively, in terms of the max function

    Ramp function alternative definition.

    Installation

    npm install @stdlib/math-strided-special-ramp

    Usage

    var ramp = require( '@stdlib/math-strided-special-ramp' );

    ramp( N, x, strideX, y, strideY )

    Evaluates the ramp function for each element in a strided array x and assigns the results to elements in a strided array y.

    var Float64Array = require( '@stdlib/array-float64' );
    
    var x = new Float64Array( [ 1.1, 2.5, -3.5, 4.0, -5.9 ] );
    
    // Perform operation in-place:
    ramp( x.length, x, 1, x, 1 );
    // x => <Float64Array>[ 1.1, 2.5, 0.0, 4.0, 0.0 ]

    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,

    var Float64Array = require( '@stdlib/array-float64' );
    
    var x = new Float64Array( [ 1.1, 2.5, -3.5, 4.0, -5.9, 6.4 ] );
    var y = new Float64Array( [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ] );
    
    ramp( 3, x, 2, y, -1 );
    // y => <Float64Array>[ 0.0, 0.0, 1.1, 0.0, 0.0, 0.0 ]

    Note that indexing is relative to the first index. To introduce an offset, use typed array views.

    var Float64Array = require( '@stdlib/array-float64' );
    
    // Initial arrays...
    var x0 = new Float64Array( [ 1.1, 2.5, -3.5, 4.0, -5.9, 6.4 ] );
    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
    
    ramp( 3, x1, -2, y1, 1 );
    // y0 => <Float64Array>[ 0.0, 0.0, 0.0, 6.4, 4.0, 2.5 ]

    ramp.ndarray( N, x, strideX, offsetX, y, strideY, offsetY )

    Evaluates the ramp function for each element in a strided array x and assigns the results to elements in a strided array y using alternative indexing semantics.

    var Float64Array = require( '@stdlib/array-float64' );
    
    var x = new Float64Array( [ 1.1, 2.5, -3.5, 4.0, -5.9 ] );
    var y = new Float64Array( [ 0.0, 0.0, 0.0, 0.0, 0.0 ] );
    
    ramp.ndarray( x.length, x, 1, 0, y, 1, 0 );
    // y => <Float64Array>[ 1.1, 2.5, 0.0, 4.0, 0.0 ]

    The function accepts the following additional arguments:

    • offsetX: starting index for x.
    • offsetY: starting index for y.

    While 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,

    var Float64Array = require( '@stdlib/array-float64' );
    
    var x = new Float64Array( [ 1.1, 2.5, -3.5, 4.0, -5.9, 6.4 ] );
    var y = new Float64Array( [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ] );
    
    ramp.ndarray( 3, x, 2, 1, y, -1, y.length-1 );
    // y => <Float64Array>[ 0.0, 0.0, 0.0, 6.4, 4.0, 2.5 ]

    Examples

    var uniform = require( '@stdlib/random-base-uniform' ).factory;
    var filledarray = require( '@stdlib/array-filled' );
    var dtypes = require( '@stdlib/array-dtypes' );
    var gfillBy = require( '@stdlib/blas-ext-base-gfill-by' );
    var ramp = require( '@stdlib/math-strided-special-ramp' );
    
    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, uniform( -10.0, 10.0 ) );
        console.log( x );
    
        y = filledarray( 0.0, x.length, 'generic' );
        console.log( y );
    
        ramp.ndarray( x.length, x, 1, 0, y, -1, y.length-1 );
        console.log( y );
        console.log( '' );
    }

    Notice

    This package is part of stdlib, a standard library for JavaScript and Node.js, 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.

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    License

    See LICENSE.

    Copyright

    Copyright © 2016-2021. The Stdlib Authors.

    Install

    npm i @stdlib/math-strided-special-ramp

    Homepage

    stdlib.io

    DownloadsWeekly Downloads

    10

    Version

    0.0.5

    License

    Apache-2.0

    Unpacked Size

    102 kB

    Total Files

    24

    Last publish

    Collaborators

    • stdlib-bot
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    • rreusser