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* @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 isLayout = require( '@stdlib/blas/base/assert/is-layout' );
var isColumnMajor = require( '@stdlib/ndarray/base/assert/is-column-major-string' );
var max = require( '@stdlib/math/base/special/max' );
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.
*
* @param {string} order - storage layout
* @param {NonNegativeInteger} M - number of rows of matrix `A`
* @param {NonNegativeInteger} N - number of columns of matrix `A`
* @param {Float64Array} A - input matrix
* @param {PositiveInteger} LDA - stride of the first/second dimension of `A` (a.k.a., leading dimension of matrix `A`)
* @param {Float64Array} R - output row scale factors
* @param {Float64Array} C - output column scale factors
* @throws {TypeError} first argument must be a valid order
* @throws {RangeError} second argument must be a nonnegative integer
* @throws {RangeError} third argument must be a nonnegative integer
* @throws {RangeError} fifth argument must be greater than or equal to max(1, M) (for column-major) or max(1, N) (for row-major)
* @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( 'row-major', 3, 3, A, 3, R, C );
* // returns [ 0.3333333333333333, 0.7777777777777777, 9.0, 0 ]
*/
function dgeequ( order, M, N, A, LDA, R, C ) {
var strideA1;
var strideA2;
if ( !isLayout( order ) ) {
throw new TypeError( format( 'invalid argument. First argument must be a valid order. Value: `%s`.', order ) );
}
if ( M < 0 ) {
throw new RangeError( format( 'invalid argument. Second argument must be a nonnegative integer. Value: `%d`.', M ) );
}
if ( N < 0 ) {
throw new RangeError( format( 'invalid argument. Third argument must be a nonnegative integer. Value: `%d`.', N ) );
}
if ( isColumnMajor( order ) ) {
if ( LDA < max( 1, M ) ) {
throw new RangeError( format( 'invalid argument. Fifth argument must be greater than or equal to max(1,%d). Value: `%d`.', M, LDA ) );
}
strideA1 = 1;
strideA2 = LDA;
} else { // order === 'row-major'
if ( LDA < max( 1, N ) ) {
throw new RangeError( format( 'invalid argument. Fifth argument must be greater than or equal to max(1,%d). Value: `%d`.', N, LDA ) );
}
strideA1 = LDA;
strideA2 = 1;
}
return base( M, N, A, strideA1, strideA2, 0, R, 1, 0, C, 1, 0 );
}
// EXPORTS //
module.exports = dgeequ;
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