README.md

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cumax

Compute the cumulative maximum value of a one-dimensional ndarray.

Usage

import cumax from 'https://cdn.jsdelivr.net/gh/stdlib-js/stats-base-ndarray-cumax@deno/mod.js';

cumax( arrays )

Computes the cumulative maximum value of a one-dimensional ndarray.

import ndarray2array from 'https://cdn.jsdelivr.net/gh/stdlib-js/ndarray-to-array@deno/mod.js';
import ndarray from 'https://cdn.jsdelivr.net/gh/stdlib-js/ndarray-base-ctor@deno/mod.js';

var xbuf = [ 1.0, 3.0, 4.0, 2.0 ];
var x = new ndarray( 'generic', xbuf, [ 4 ], [ 1 ], 0, 'row-major' );

var ybuf = [ 0.0, 0.0, 0.0, 0.0 ];
var y = new ndarray( 'generic', xbuf, [ 4 ], [ 1 ], 0, 'row-major' );

var v = cumax( [ x, y ] );
// returns <ndarray>

var bool = ( v === y );
// returns true

var arr = ndarray2array( v );
// returns [ 1.0, 3.0, 4.0, 4.0 ]

The function has the following parameters:

• arrays: array-like object containing a one-dimensional input ndarray and a one-dimensional output ndarray.

Notes

• If provided an empty one-dimensional input ndarray, the function returns the output ndarray unchanged.

Examples

import discreteUniform from 'https://cdn.jsdelivr.net/gh/stdlib-js/random-array-discrete-uniform@deno/mod.js';
import ndarray from 'https://cdn.jsdelivr.net/gh/stdlib-js/ndarray-base-ctor@deno/mod.js';
import zerosLike from 'https://cdn.jsdelivr.net/gh/stdlib-js/ndarray-zeros-like@deno/mod.js';
import ndarray2array from 'https://cdn.jsdelivr.net/gh/stdlib-js/ndarray-to-array@deno/mod.js';
import cumax from 'https://cdn.jsdelivr.net/gh/stdlib-js/stats-base-ndarray-cumax@deno/mod.js';

var xbuf = discreteUniform( 10, -50, 50, {
    'dtype': 'generic'
});
var x = new ndarray( 'generic', xbuf, [ xbuf.length ], [ 1 ], 0, 'row-major' );
console.log( ndarray2array( x ) );

var y = zerosLike( x );
console.log( ndarray2array( y ) );

var v = cumax( [ x, y ] );
console.log( ndarray2array( v ) );

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Notice

This package is part of stdlib, a standard library 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.

Community

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License

See LICENSE.

Copyright

Copyright © 2016-2025. The Stdlib Authors.