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@stdlib/math-base-special-cinv

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Compute the inverse of a double-precision complex floating-point number.

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<!-- @license Apache-2.0 Copyright (c) 2018 The Stdlib Authors. Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. --> <details> <summary> About stdlib... </summary> <p>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.</p> <p>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.</p> <p>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.</p> <p>To join us in bringing numerical computing to the web, get started by checking us out on <a href="https://github.com/stdlib-js/stdlib">GitHub</a>, and please consider <a href="https://opencollective.com/stdlib">financially supporting stdlib</a>. We greatly appreciate your continued support!</p> </details> # cinv [![NPM version][npm-image]][npm-url] [![Build Status][test-image]][test-url] [![Coverage Status][coverage-image]][coverage-url] <!-- [![dependencies][dependencies-image]][dependencies-url] --> > Compute the inverse of a double-precision complex floating-point number. <section class="intro"> The inverse (or reciprocal) of a non-zero complex number `z = a + bi` is defined as <!-- <equation class="equation" label="eq:complex_inverse" align="center" raw="{\frac {1}{z}}=\frac{\bar{z}}{z{\bar{z}}} = \frac{a}{a^{2}+b^{2}} - \frac{b}{a^2+b^2}i." alt="Complex Inverse" > --> <div class="equation" align="center" data-raw-text="{\frac {1}{z}}=\frac{\bar{z}}{z{\bar{z}}} = \frac{a}{a^{2}+b^{2}} - \frac{b}{a^2+b^2}i." data-equation="eq:complex_inverse"> <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@026bc0ee34051ddb44f3222f620bc7a300b9799e/lib/node_modules/@stdlib/math/base/special/cinv/docs/img/equation_complex_inverse.svg" alt="Complex Inverse"> <br> </div> <!-- </equation> --> </section> <!-- /.intro --> <section class="installation"> ## Installation ```bash npm install @stdlib/math-base-special-cinv ``` </section> <section class="usage"> ## Usage ```javascript var cinv = require( '@stdlib/math-base-special-cinv' ); ``` #### cinv( z ) Computes the inverse of a double-precision complex floating-point number. ```javascript var Complex128 = require( '@stdlib/complex-float64-ctor' ); var real = require( '@stdlib/complex-float64-real' ); var imag = require( '@stdlib/complex-float64-imag' ); var v = cinv( new Complex128( 2.0, 4.0 ) ); // returns <Complex128> var re = real( v ); // returns 0.1 var im = imag( v ); // returns -0.2 ``` </section> <!-- /.usage --> <section class="examples"> ## Examples <!-- eslint no-undef: "error" --> ```javascript var Complex128 = require( '@stdlib/complex-float64-ctor' ); var uniform = require( '@stdlib/random-base-uniform' ); var cinv = require( '@stdlib/math-base-special-cinv' ); var z1; var z2; var i; for ( i = 0; i < 100; i++ ) { z1 = new Complex128( uniform( -50.0, 50.0 ), uniform( -50.0, 50.0 ) ); z2 = cinv( z1 ); console.log( '1.0 / (%s) = %s', z1.toString(), z2.toString() ); } ``` </section> <!-- /.examples --> <!-- C interface documentation. --> * * * <section class="c"> ## C APIs <!-- Section to include introductory text. Make sure to keep an empty line after the intro `section` element and another before the `/section` close. --> <section class="intro"> </section> <!-- /.intro --> <!-- C usage documentation. --> <section class="usage"> ### Usage ```c #include "stdlib/math/base/special/cinv.h" ``` #### stdlib_base_cinv( z ) Computes the inverse of a double-precision complex floating-point number. ```c #include "stdlib/complex/float64/ctor.h" #include "stdlib/complex/float64/real.h" #include "stdlib/complex/float64/imag.h" stdlib_complex128_t z = stdlib_complex128( 2.0, 4.0 ); stdlib_complex128_t out = stdlib_base_cinv( z ); double re = stdlib_complex128_real( out ); // returns 0.1 double im = stdlib_complex128_imag( out ); // returns -0.2 ``` The function accepts the following arguments: - **z**: `[in] stdlib_complex128_t` input value. ```c stdlib_complex128_t stdlib_base_cinv( const stdlib_complex128_t z ); ``` </section> <!-- /.usage --> <!-- C API usage notes. Make sure to keep an empty line after the `section` element and another before the `/section` close. --> <section class="notes"> </section> <!-- /.notes --> <!-- C API usage examples. --> <section class="examples"> ### Examples ```c #include "stdlib/math/base/special/cinv.h" #include "stdlib/complex/float64/ctor.h" #include "stdlib/complex/float64/reim.h" #include <stdio.h> int main() { const stdlib_complex128_t x[] = { stdlib_complex128( 3.14, 1.5 ), stdlib_complex128( -3.14, -1.5 ), stdlib_complex128( 0.0, 0.0 ), stdlib_complex128( 0.0/0.0, 0.0/0.0 ) }; stdlib_complex128_t v; stdlib_complex128_t y; double re1; double im1; double re2; double im2; int i; for ( i = 0; i < 4; i++ ) { v = x[ i ]; y = stdlib_base_cinv( v ); stdlib_complex128_reim( v, &re1, &im1 ); stdlib_complex128_reim( y, &re2, &im2 ); printf( "cinv(%lf + %lfi) = %lf + %lfi\n", re1, im1, re2, im2 ); } } ``` </section> <!-- /.examples --> </section> <!-- /.c --> * * * <section class="references"> ## References - Smith, Robert L. 1962. "Algorithm 116: Complex Division." _Commun. ACM_ 5 (8). New York, NY, USA: ACM: 435. doi:[10.1145/368637.368661][@smith:1962a]. - Stewart, G. W. 1985. "A Note on Complex Division." _ACM Trans. Math. Softw._ 11 (3). New York, NY, USA: ACM: 238–41. doi:[10.1145/214408.214414][@stewart:1985a]. - Priest, Douglas M. 2004. "Efficient Scaling for Complex Division." _ACM Trans. Math. Softw._ 30 (4). New York, NY, USA: ACM: 389–401. doi:[10.1145/1039813.1039814][@priest:2004a]. - Baudin, Michael, and Robert L. Smith. 2012. "A Robust Complex Division in Scilab." _arXiv_ abs/1210.4539 \[cs.MS] (October): 1–25. [&lt;https://arxiv.org/abs/1210.4539>][@baudin:2012a]. </section> <!-- /.references --> <!-- Section for related `stdlib` packages. Do not manually edit this section, as it is automatically populated. --> <section class="related"> * * * ## See Also - <span class="package-name">[`@stdlib/math-base/ops/cdiv`][@stdlib/math/base/ops/cdiv]</span><span class="delimiter">: </span><span class="description">divide two complex numbers.</span> </section> <!-- /.related --> <!-- Section for all links. Make sure to keep an empty line after the `section` element and another before the `/section` close. --> <section class="main-repo" > * * * ## 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 &copy; 2016-2024. The Stdlib [Authors][stdlib-authors]. </section> <!-- /.stdlib --> <!-- Section for all links. 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