math-base-special-ellipj

Compute the Jacobi elliptic functions sn, cn, and dn.

https://github.com/stdlib-js/math-base-special-ellipj

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Compute the Jacobi elliptic functions sn, cn, and dn.

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README.md

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ellipj

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Compute the Jacobi elliptic functions sn, cn, and dn.

The [Jacobi elliptic functions][jacobi-elliptic] may be defined as the inverse of the [incomplete elliptic integral of the first kind][incomplete-elliptic]. Accordingly, they compute the value `φ` which satisfies the equation where the parameter `m` is related to the modulus `k` by `m = k^2`.
## Installation ```bash npm install @stdlib/math-base-special-ellipj ``` 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 ellipj = require( '@stdlib/math-base-special-ellipj' ); ``` #### ellipj( u, m ) Computes the [Jacobi elliptic functions][jacobi-elliptic] functions `sn`, `cn`, and `dn`, and the Jacobi amplitude `am`. ```javascript var v = ellipj( 0.3, 0.5 ); // returns [ ~0.293, ~0.956, ~0.978, ~0.298 ] v = ellipj( 0.0, 0.0 ); // returns [ ~0.0, ~1.0, ~1.0, ~0.0 ] v = ellipj( Infinity, 1.0 ); // returns [ ~1.0, ~0.0, ~0.0, ~1.571 ] v = ellipj( 0.0, -2.0 ); // returns [ ~0.0, ~1.0, ~1.0, NaN ] v = ellipj( NaN, NaN ); // returns [ NaN, NaN, NaN, NaN ] ``` #### ellipj.assign( u, m, out, stride, offset ) Computes the Jacobi elliptic functions `sn`, `cn`, `dn`, and Jacobi amplitude `am` and assigns results to a provided output array. ```javascript var Float64Array = require( '@stdlib/array-float64' ); var out = new Float64Array( 4 ); var v = ellipj.assign( 0.0, 0.0, out, 1, 0 ); // returns [ ~0.0, ~1.0, ~1.0, ~0.0 ] var bool = ( v === out ); // returns true ``` #### ellipj.sn( u, m ) Computes the Jacobi elliptic function `sn` of value `u` with modulus `m`. ```javascript var v = ellipj.sn( 0.3, 0.5 ); // returns ~0.293 ``` #### ellipj.cn( u, m ) Computes the Jacobi elliptic function `cn` of value `u` with modulus `m`. ```javascript var v = ellipj.cn( 0.3, 0.5 ); // returns ~0.956 ``` #### ellipj.dn( u, m ) Computes the Jacobi elliptic function `dn` of value `u` with modulus `m`. ```javascript var v = ellipj.dn( 0.3, 0.5 ); // returns ~0.978 ``` #### ellipj.am( u, m ) Computes the Jacobi amplitude `am` of value `u` with modulus `m`. ```javascript var v = ellipj.am( 0.3, 0.5 ); // returns ~0.298 v = ellipj.am( 0.3, 2.0 ); // returns NaN ``` Although `sn`, `cn`, and `dn` may be computed for `-∞ < m < ∞`, the domain of `am` is `0 ≤ m ≤ 1`. For `m < 0` or `m > 1`, the function returns `NaN`.
## Notes - Functions `sn`, `cn`, and `dn` are valid for `-∞ < m < ∞`. Values for `m < 0` or `m > 1` are computed in terms of Jacobi elliptic functions with `0 < m < 1` via the transformations outlined in Equations 16.13 and 16.15 from _The Handbook of Mathematical Functions_ (Abramowitz and Stegun). - If more than one of `sn`, `cn`, `dn`, or `am` is to be computed, preferring using `ellipj` to compute all four values simultaneously.
## Examples ```javascript var linspace = require( '@stdlib/array-base-linspace' ); var ellipk = require( '@stdlib/math-base-special-ellipk' ); var ellipj = require( '@stdlib/math-base-special-ellipj' ); var m = 0.7; var u = linspace( 0.0, ellipk( m ), 100 ); var out; var i; for ( i = 0; i < 100; i++ ) { out = ellipj( u[ i ], m ); console.log( 'sn(%d, %d) = %d', u[ i ], m, out[ 0 ] ); console.log( 'cn(%d, %d) = %d', u[ i ], m, out[ 1 ] ); console.log( 'dn(%d, %d) = %d', u[ i ], m, out[ 2 ] ); console.log( 'am(%d, %d) = %d', u[ i ], m, out[ 3 ] ); } ```

## C APIs
### Usage ```c #include "stdlib/math/base/special/ellipj.h" ``` #### stdlib_base_ellipj( x, m, &sn, &cn, &dn, &am ) Computes the [Jacobi elliptic functions][jacobi-elliptic] functions `sn`, `cn`, and `dn`, and the Jacobi amplitude `am`. ```c double sn; double cn; double dn; double am; stdlib_base_ellipj( 0.3, 0.5, &sn, &cn, &dn, &am ); ``` The function accepts the following arguments: - **x**: `[in] double` input value. - **m**: `[in] double` modulus `m`, equivalent to `k²`. - **sn**: `[out] double*` destination for the sine amplitude. - **cn**: `[out] double*` destination for the cosine amplitude. - **dn**: `[out] double*` destination for the delta amplitude. - **am**: `[out] double*` destination for the Jacobi amplitude. ```c void stdlib_base_ellipj( const double u, const double m, double* sn, double* cn, double* dn, double* am ); ```
### Examples ```c #include "stdlib/math/base/special/ellipj.h" #include #include int main( void ) { double sn; double cn; double dn; double am; double x; int i; for ( i = 0; i < 100; i++ ) { x = 2.0 * ( (double)rand() / (double)RAND_MAX ); stdlib_base_ellipj( x, 0.7, &sn, &cn, &dn, &am ); printf( "x: %lf, m: %lf => sn: %lf, cn: %lf, dn: %lf, am: %lf\n", x, 0.7, sn, cn, dn, am ); } } ```


## References - Fukushima, Toshio. 2009. "Fast computation of complete elliptic integrals and Jacobian elliptic functions." _Celestial Mechanics and Dynamical Astronomy_ 105 (4): 305. doi:[10.1007/s10569-009-9228-z][@fukushima:2009a]. - Fukushima, Toshio. 2015. "Precise and fast computation of complete elliptic integrals by piecewise minimax rational function approximation." _Journal of Computational and Applied Mathematics_ 282 (July): 71–76. doi:[10.1016/j.cam.2014.12.038][@fukushima:2015a].
* * * ## 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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