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| 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 | 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 19x 19x 3x 3x 19x 3x 3x 13x 19x 2x 2x 2x 2x 2x | /**
* @license Apache-2.0
*
* Copyright (c) 2026 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.
*/
'use strict';
// MODULES //
var format = require( '@stdlib/string/format' );
var base = require( './base.js' );
// MAIN //
/**
* Computes row and column scaling factors intended to equilibrate an M-by-N real matrix `A` and reduce its condition number using alternative indexing semantics.
*
* @param {NonNegativeInteger} M - number of rows of matrix `A`
* @param {NonNegativeInteger} N - number of columns of matrix `A`
* @param {Float64Array} A - input matrix
* @param {integer} strideA1 - stride of the first dimension of `A`
* @param {integer} strideA2 - stride of the second dimension of `A`
* @param {NonNegativeInteger} offsetA - starting index for `A`
* @param {Float64Array} R - output row scale factors
* @param {integer} strideR - stride length for `R`
* @param {NonNegativeInteger} offsetR - starting index for `R`
* @param {Float64Array} C - output column scale factors
* @param {integer} strideC - stride length for `C`
* @param {NonNegativeInteger} offsetC - starting index for `C`
* @throws {RangeError} first argument must be a nonnegative integer
* @throws {RangeError} second argument must be a nonnegative integer
* @returns {Array} a 4-element array containing `[ rowcnd, colcnd, amax, info ]`
*
* @example
* var Float64Array = require( '@stdlib/array/float64' );
*
* var A = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0 ] );
* var R = new Float64Array( 3 );
* var C = new Float64Array( 3 );
*
* var out = dgeequ( 3, 3, A, 3, 1, 0, R, 1, 0, C, 1, 0 );
* // returns [ 0.3333333333333333, 0.7777777777777777, 9.0, 0 ]
*/
function dgeequ( M, N, A, strideA1, strideA2, offsetA, R, strideR, offsetR, C, strideC, offsetC ) { // eslint-disable-line max-len, max-params
if ( M < 0 ) {
throw new RangeError( format( 'invalid argument. First argument must be a nonnegative integer. Value: `%d`.', M ) );
}
if ( N < 0 ) {
throw new RangeError( format( 'invalid argument. Second argument must be a nonnegative integer. Value: `%d`.', N ) );
}
return base( M, N, A, strideA1, strideA2, offsetA, R, strideR, offsetR, C, strideC, offsetC ); // eslint-disable-line max-len
}
// EXPORTS //
module.exports = dgeequ;
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