@stdlib/blas-ext-base-dsort2hp

Simultaneously sort two double-precision floating-point strided arrays based on the sort order of the first array using heapsort.

https://github.com/stdlib-js/blas-ext-base-dsort2hp

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arrange array blas double extended float64 heap heapsort javascript math mathematics ndarray node node-js nodejs order permute sort stdlib strided
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Simultaneously sort two double-precision floating-point strided arrays based on the sort order of the first array using heapsort.

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arrange array blas double extended float64 heap heapsort javascript math mathematics ndarray node node-js nodejs order permute sort stdlib strided
Created over 4 years ago · Last pushed 4 months ago
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README.md

About stdlib...

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dsort2hp

NPM version Build Status Coverage Status <!-- dependencies -->

Simultaneously sort two double-precision floating-point strided arrays based on the sort order of the first array using heapsort.

## Installation ```bash npm install @stdlib/blas-ext-base-dsort2hp ``` Alternatively, - To load the package in a website via a `script` tag without installation and bundlers, use the [ES Module][es-module] available on the [`esm`][esm-url] branch (see [README][esm-readme]). - If you are using Deno, visit the [`deno`][deno-url] branch (see [README][deno-readme] for usage intructions). - For use in Observable, or in browser/node environments, use the [Universal Module Definition (UMD)][umd] build available on the [`umd`][umd-url] branch (see [README][umd-readme]). The [branches.md][branches-url] file summarizes the available branches and displays a diagram illustrating their relationships. To view installation and usage instructions specific to each branch build, be sure to explicitly navigate to the respective README files on each branch, as linked to above.
## Usage ```javascript var dsort2hp = require( '@stdlib/blas-ext-base-dsort2hp' ); ``` #### dsort2hp( N, order, x, strideX, y, strideY ) Simultaneously sorts two double-precision floating-point strided arrays based on the sort order of the first array `x` using heapsort. ```javascript var Float64Array = require( '@stdlib/array-float64' ); var x = new Float64Array( [ 1.0, -2.0, 3.0, -4.0 ] ); var y = new Float64Array( [ 0.0, 1.0, 2.0, 3.0 ] ); dsort2hp( x.length, 1.0, x, 1, y, 1 ); console.log( x ); // => [ -4.0, -2.0, 1.0, 3.0 ] console.log( y ); // => [ 3.0, 1.0, 0.0, 2.0 ] ``` The function has the following parameters: - **N**: number of indexed elements. - **order**: sort order. If `order < 0.0`, the input strided array `x` is sorted in **decreasing** order. If `order > 0.0`, the input strided array `x` is sorted in **increasing** order. If `order == 0.0`, the input strided arrays are left unchanged. - **x**: first input [`Float64Array`][@stdlib/array/float64]. - **strideX**: `x` index increment. - **y**: second input [`Float64Array`][@stdlib/array/float64]. - **strideY**: `y` index increment. The `N` and `stride` parameters determine which elements in `x` and `y` are accessed at runtime. For example, to sort every other element ```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 ] ); var y = new Float64Array( [ 0.0, 1.0, 2.0, 3.0 ] ); var N = floor( x.length / 2 ); dsort2hp( N, -1.0, x, 2, y, 2 ); console.log( x ); // => [ 3.0, -2.0, 1.0, -4.0 ] console.log( y ); // => [ 2.0, 1.0, 0.0, 3.0 ] ``` 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 ] ); var y0 = new Float64Array( [ 0.0, 1.0, 2.0, 3.0 ] ); // 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*1 ); // start at 2nd element var N = floor( x0.length/2 ); // Sort every other element... dsort2hp( N, -1.0, x1, 2, y1, 2 ); console.log( x0 ); // => [ 1.0, 4.0, 3.0, 2.0 ] console.log( y0 ); // => [ 0.0, 3.0, 2.0, 1.0 ] ``` #### dsort2hp.ndarray( N, order, x, strideX, offsetX, y, strideY, offsetY ) Simultaneously sorts two double-precision floating-point strided arrays based on the sort order of the first array `x` using heapsort and alternative indexing semantics. ```javascript var Float64Array = require( '@stdlib/array-float64' ); var x = new Float64Array( [ 1.0, -2.0, 3.0, -4.0 ] ); var y = new Float64Array( [ 0.0, 1.0, 2.0, 3.0 ] ); dsort2hp.ndarray( x.length, 1.0, x, 1, 0, y, 1, 0 ); console.log( x ); // => [ -4.0, -2.0, 1.0, 3.0 ] console.log( y ); // => [ 3.0, 1.0, 0.0, 2.0 ] ``` The function has the following additional parameters: - **offsetX**: `x` starting index. - **offsetY**: `y` starting index. While [`typed array`][mdn-typed-array] views mandate a view offset based on the underlying `buffer`, the `offset` parameter supports indexing semantics based on a starting index. For example, to access only the last three elements of `x` ```javascript var Float64Array = require( '@stdlib/array-float64' ); var x = new Float64Array( [ 1.0, -2.0, 3.0, -4.0, 5.0, -6.0 ] ); var y = new Float64Array( [ 0.0, 1.0, 2.0, 3.0, 4.0, 5.0 ] ); dsort2hp.ndarray( 3, 1.0, x, 1, x.length-3, y, 1, y.length-3 ); console.log( x ); // => [ 1.0, -2.0, 3.0, -6.0, -4.0, 5.0 ] console.log( y ); // => [ 0.0, 1.0, 2.0, 5.0, 3.0, 4.0 ] ```
## Notes - If `N <= 0` or `order == 0.0`, both functions leave `x` and `y` unchanged. - The algorithm distinguishes between `-0` and `+0`. When sorted in increasing order, `-0` is sorted before `+0`. When sorted in decreasing order, `-0` is sorted after `+0`. - The algorithm sorts `NaN` values to the end. When sorted in increasing order, `NaN` values are sorted last. When sorted in decreasing order, `NaN` values are sorted first. - The algorithm has space complexity `O(1)` and time complexity `O(N log2 N)`. - The algorithm is **unstable**, meaning that the algorithm may change the order of strided array elements which are equal or equivalent (e.g., `NaN` values). - The input strided arrays are sorted **in-place** (i.e., the input strided arrays are **mutated**).
## Examples ```javascript var round = require( '@stdlib/math-base-special-round' ); var randu = require( '@stdlib/random-base-randu' ); var Float64Array = require( '@stdlib/array-float64' ); var dsort2hp = require( '@stdlib/blas-ext-base-dsort2hp' ); var rand; var sign; var x; var y; var i; x = new Float64Array( 10 ); y = new Float64Array( 10 ); // index array for ( i = 0; i < x.length; i++ ) { rand = round( randu()*100.0 ); sign = randu(); if ( sign < 0.5 ) { sign = -1.0; } else { sign = 1.0; } x[ i ] = sign * rand; y[ i ] = i; } console.log( x ); console.log( y ); dsort2hp( x.length, -1.0, x, -1, y, -1 ); console.log( x ); console.log( y ); ```

## References - Williams, John William Joseph. 1964. "Algorithm 232: Heapsort." _Communications of the ACM_ 7 (6). New York, NY, USA: Association for Computing Machinery: 347–49. doi:[10.1145/512274.512284][@williams:1964a]. - Floyd, Robert W. 1964. "Algorithm 245: Treesort." _Communications of the ACM_ 7 (12). New York, NY, USA: Association for Computing Machinery: 701. doi:[10.1145/355588.365103][@floyd:1964a].
* * * ## Notice This package is part of [stdlib][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][stdlib], see the main project [repository][stdlib]. #### Community [![Chat][chat-image]][chat-url] --- ## License See [LICENSE][stdlib-license]. ## Copyright Copyright © 2016-2025. The Stdlib [Authors][stdlib-authors].

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cff-version: 1.2.0
title: stdlib
message: >-
  If you use this software, please cite it using the
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type: software

authors:
  - name: The Stdlib Authors
    url: https://github.com/stdlib-js/stdlib/graphs/contributors

repository-code: https://github.com/stdlib-js/stdlib
url: https://stdlib.io

abstract: |
  Standard library for JavaScript and Node.js.

keywords:
  - JavaScript
  - Node.js
  - TypeScript
  - standard library
  - scientific computing
  - numerical computing
  - statistical computing

license: Apache-2.0 AND BSL-1.0

date-released: 2016

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npmjs.org: @stdlib/blas-ext-base-dsort2hp

Simultaneously sort two double-precision floating-point strided arrays based on the sort order of the first array using heapsort.

  • Homepage: https://stdlib.io
  • License: Apache-2.0
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    published over 1 year ago
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