About stdlib...

We believe in a future in which the web is a preferred environment for numerical computation. To help realize this future, we've built stdlib. stdlib is a standard library, with an emphasis on numerical and scientific computation, written in JavaScript (and C) for execution in browsers and in Node.js.

The library is fully decomposable, being architected in such a way that you can swap out and mix and match APIs and functionality to cater to your exact preferences and use cases.

When you use stdlib, you can be absolutely certain that you are using the most thorough, rigorous, well-written, studied, documented, tested, measured, and high-quality code out there.

To join us in bringing numerical computing to the web, get started by checking us out on GitHub, and please consider financially supporting stdlib. We greatly appreciate your continued support!

dsortins

Sort a one-dimensional double-precision floating-point ndarray using insertion sort.

Installation

npm install @stdlib/blas-ext-base-ndarray-dsortins

Alternatively,

• To load the package in a website via a script tag without installation and bundlers, use the ES Module available on the esm branch (see README).
• If you are using Deno, visit the deno branch (see README for usage intructions).
• For use in Observable, or in browser/node environments, use the Universal Module Definition (UMD) build available on the umd branch (see README).

The branches.md 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

var dsortins = require( '@stdlib/blas-ext-base-ndarray-dsortins' );

dsortins( arrays )

Sorts a one-dimensional double-precision floating-point ndarray using insertion sort.

var Float64Vector = require( '@stdlib/ndarray-vector-float64' );
var scalar2ndarray = require( '@stdlib/ndarray-from-scalar' );

var x = new Float64Vector( [ 1.0, -2.0, 3.0, -4.0 ] );

var order = scalar2ndarray( 1.0, {
    'dtype': 'generic'
});

var out = dsortins( [ x, order ] );
// returns <ndarray>[ -4.0, -2.0, 1.0, 3.0 ]

The function has the following parameters:

• arrays: array-like object containing the following ndarrays:

  • a one-dimensional input ndarray.
  • a zero-dimensional ndarray specifying the sort order.

Notes

• The input ndarray is sorted in-place (i.e., the input ndarray is mutated).
• When the sort order is less than zero, the input ndarray is sorted in decreasing order. When the sort order is greater than zero, the input ndarray is sorted in increasing order. When the sort order is equal to zero, the input ndarray is left 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 worst case time complexity O(N^2).
• The algorithm is efficient for small ndarrays (typically N <= 20) and is particularly efficient for sorting ndarrays which are already substantially sorted.
• The algorithm is stable, meaning that the algorithm does not change the order of ndarray elements which are equal or equivalent (e.g., NaN values).

Examples

var discreteUniform = require( '@stdlib/random-discrete-uniform' );
var scalar2ndarray = require( '@stdlib/ndarray-from-scalar' );
var ndarray2array = require( '@stdlib/ndarray-to-array' );
var ndarraylike2scalar = require( '@stdlib/ndarray-base-ndarraylike2scalar' );
var dsortins = require( '@stdlib/blas-ext-base-ndarray-dsortins' );

var opts = {
    'dtype': 'float64'
};

var x = discreteUniform( [ 10 ], -100, 100, opts );
console.log( ndarray2array( x ) );

var order = scalar2ndarray( 1.0, {
    'dtype': 'generic'
});
console.log( 'Order:', ndarraylike2scalar( order ) );

dsortins( [ x, order ] );
console.log( ndarray2array( x ) );

---

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.

Community

---

License

See LICENSE.

Copyright

Copyright © 2016-2026. The Stdlib Authors.