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lapack-base-sge-trans

Convert a matrix from row-major layout to column-major layout or vice versa.

https://github.com/stdlib-js/lapack-base-sge-trans

Science Score: 44.0%

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algebra array copy float32 float32array javascript lapack linear math mathematics matrix ndarray node node-js nodejs stdlib subroutines transpose
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Convert a matrix from row-major layout to column-major layout or vice versa.

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algebra array copy float32 float32array javascript lapack linear math mathematics matrix ndarray node node-js nodejs stdlib subroutines transpose
Created over 1 year ago · Last pushed 7 months ago
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README.md

About stdlib...

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sgetrans

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

Convert a matrix from row-major layout to column-major layout or vice versa.

## Installation ```bash npm install @stdlib/lapack-base-sge-trans ``` 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 sgetrans = require( '@stdlib/lapack-base-sge-trans' ); ``` #### sgetrans( order, M, N, A, LDA, out, LDO ) Converts a matrix from row-major layout to column-major layout or vice versa. ```javascript var Float32Array = require( '@stdlib/array-float32' ); var A = new Float32Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] ); var out = new Float32Array( 6 ); out = sgetrans( 'row-major', 2, 3, A, 3, out, 2 ); // returns [ 1.0, 4.0, 2.0, 5.0, 3.0, 6.0 ] ``` The function has the following parameters: - **order**: storage layout. - **M**: number of rows in `A`. - **N**: number of columns in `A`. - **A**: input [`Float32Array`][mdn-float32array]. - **LDA**: stride of the first dimension of `A` (a.k.a., leading dimension of the matrix `A`). - **out**: output [`Float32Array`][mdn-float32array]. - **LDO**: stride of the first dimension of `out` (a.k.a., leading dimension of the matrix `out`). Note that indexing is relative to the first index. To introduce an offset, use [`typed array`][mdn-typed-array] views. ```javascript var Float32Array = require( '@stdlib/array-float32' ); // Initial arrays... var A0 = new Float32Array( [ 0.0, 1.0, 2.0, 3.0, 4.0 ] ); var out0 = new Float32Array( [ 0.0, 1.0, 2.0, 3.0, 4.0 ] ); // Create offset views... var A1 = new Float32Array( A0.buffer, A0.BYTES_PER_ELEMENT*1 ); // start at 2nd element var out1 = new Float32Array( out0.buffer, out0.BYTES_PER_ELEMENT*1 ); // start at 2nd element sgetrans( 'row-major', 2, 2, A1, 2, out1, 2 ); // out0 => [ 0.0, 1.0, 3.0, 2.0, 4.0 ] ``` #### sgetrans.ndarray( M, N, A, sa1, sa2, oa, out, so1, so2, oo ) Converts a matrix from row-major layout to column-major layout or vice versa using alternative indexing semantics. ```javascript var Float32Array = require( '@stdlib/array-float32' ); var A = new Float32Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] ); var out = new Float32Array( 6 ); out = sgetrans.ndarray( 2, 3, A, 3, 1, 0, out, 2, 1, 0 ); // returns [ 1.0, 4.0, 2.0, 5.0, 3.0, 6.0 ] ``` The function has the following parameters: - **M**: number of rows in `A`. - **N**: number of columns in `A`. - **A**: input [`Float32Array`][mdn-float32array]. - **sa1**: stride of the first dimension of `A`. - **sa2**: stride of the second dimension of `A`. - **oa**: starting index for `A`. - **out**: output [`Float32Array`][mdn-float32array]. - **so1**: stride of the first dimension of `out`. - **so2**: stride of the second dimension of `out`. - **oo**: starting index for `out`. While [`typed array`][mdn-typed-array] views mandate a view offset based on the underlying buffer, the offset parameters support indexing semantics based on starting indices. For example, ```javascript var Float32Array = require( '@stdlib/array-float32' ); var A = new Float32Array( [ 0.0, 1.0, 2.0, 3.0, 4.0 ] ); var out = new Float32Array( [ 0.0, 0.0, 11.0, 312.0, 53.0, 412.0 ] ); sgetrans.ndarray( 2, 2, A, 2, 1, 1, out, 2, 1, 2 ); // out => [ 0.0, 0.0, 1.0, 3.0, 2.0, 4.0 ] ```
## Notes - `sgetrans()` corresponds to the [LAPACK][lapack] utility routine [`sge_trans`][lapack-sge-trans].
## Examples ```javascript var ndarray2array = require( '@stdlib/ndarray-base-to-array' ); var shape2strides = require( '@stdlib/ndarray-base-shape2strides' ); var numel = require( '@stdlib/ndarray-base-numel' ); var Float32Array = require( '@stdlib/array-float32' ); var sgetrans = require( '@stdlib/lapack-base-sge-trans' ); var shapeA = [ 2, 3 ]; var shapeOut = [ 3, 2 ]; // Row-major layout... var order = 'row-major'; var stridesA = shape2strides( shapeA, order ); var stridesOut = shape2strides( shapeOut, order ); var A = new Float32Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] ); console.log( ndarray2array( A, shapeA, stridesA, 0, order ) ); var out = new Float32Array( numel( shapeA ) ); out = sgetrans( order, shapeA[0], shapeA[1], A, stridesA[0], out, stridesOut[0] ); console.log( ndarray2array( out, shapeOut, stridesOut, 0, order ) ); // Column-major layout... order = 'column-major'; stridesA = shape2strides( shapeA, order ); stridesOut = shape2strides( shapeOut, order ); A = new Float32Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] ); console.log( ndarray2array( A, shapeA, stridesA, 0, order ) ); out = new Float32Array( numel( shapeA ) ); out = sgetrans( order, shapeA[0], shapeA[1], A, stridesA[1], out, stridesOut[1] ); console.log( ndarray2array( out, shapeOut, stridesOut, 0, order ) ); // Input and output arrays have different layouts... stridesA = shape2strides( shapeA, 'row-major' ); stridesOut = shape2strides( shapeOut, 'column-major' ); A = new Float32Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] ); console.log( ndarray2array( A, shapeA, stridesA, 0, 'row-major' ) ); out = new Float32Array( numel( shapeA ) ); out = sgetrans.ndarray( shapeA[0], shapeA[1], A, stridesA[0], stridesA[1], 0, out, stridesOut[0], stridesOut[1], 0 ); console.log( ndarray2array( out, shapeOut, stridesOut, 0, 'column-major' ) ); // Input and output arrays have different layouts... stridesA = shape2strides( shapeA, 'column-major' ); stridesOut = shape2strides( shapeOut, 'row-major' ); A = new Float32Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] ); console.log( ndarray2array( A, shapeA, stridesA, 0, 'column-major' ) ); out = new Float32Array( numel( shapeA ) ); out = sgetrans.ndarray( shapeA[0], shapeA[1], A, stridesA[0], stridesA[1], 0, out, stridesOut[0], stridesOut[1], 0 ); console.log( ndarray2array( out, shapeOut, stridesOut, 0, 'row-major' ) ); ```
## C APIs
### Usage ```c TODO ``` #### TODO TODO. ```c TODO ``` TODO ```c TODO ```
### Examples ```c TODO ```

* * * ## 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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Standard library for JavaScript.

Citation (CITATION.cff) 

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

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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