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* @license Apache-2.0
*
* Copyright (c) 2025 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';
/* eslint-disable max-len, max-params */
// MODULES //
var isMatrixTriangle = require( '@stdlib/blas/base/assert/is-matrix-triangle' );
var isDiagonalType = require( '@stdlib/blas/base/assert/is-diagonal-type' );
var isTransposeOperation = require( '@stdlib/blas/base/assert/is-transpose-operation' );
var format = require( '@stdlib/string/format' );
var base = require( './base.js' );
// MAIN //
/**
* Solves a triangular system of equations with the scale factor set to prevent overflow.
*
* @param {string} uplo - specifies whether `A` is an upper or lower triangular matrix
* @param {string} trans - specifies whether `A` should be transposed or not transposed
* @param {string} diag - specifies whether `A` has a unit diagonal
* @param {string} normin - specifies whether `CNORM` has been set or not
* @param {NonNegativeInteger} N - number of rows/columns in `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} X - input vector, specifies the right hand side vector of the equation
* @param {integer} strideX - stride length for `X`
* @param {NonNegativeInteger} offsetX - starting index for `X`
* @param {Float64Array} CNORM - used to store the column norms
* @param {integer} strideCNORM - stride length for `CNORM`
* @param {NonNegativeInteger} offsetCNORM - starting index for `CNORM`
* @throws {TypeError} first argument must be a valid matrix triangle
* @throws {TypeError} second argument must be a valid transpose opeartion
* @throws {TypeError} third argument must be a valid diagonal type
* @throws {TypeError} fourth argument must be either yes or no
* @returns {number} scaling factor
*
* @example
* var Float64Array = require( '@stdlib/array/float64' );
*
* var A = new Float64Array( [ 2.0, 1.0, -1.0, 0.0, 3.0, 2.0, 0.0, 0.0, 4.0 ] ); // => [ [ 2.0, 1.0, -1.0 ], [ 0.0, 3.0, 2.0 ], [ 0.0, 0.0, 4.0 ] ]
* var X = new Float64Array( [ 5.0, 10.0, 20,0 ] );
* var CNORM = new Float64Array( 3 );
*
* var scale = dlatrs( 'upper', 'no-transpose', 'non-unit', 'no', 3, A, 3, 1, 0, X, 1, 0, CNORM, 1, 0 );
* // returns 1.0
* // X => <Float64Array>[ 5.0, 0.0, 5.0 ]
* // CNORM => <Float64Array>[ 0.0, 1.0, 3.0 ]
*/
function dlatrs( uplo, trans, diag, normin, N, A, strideA1, strideA2, offsetA, X, strideX, offsetX, CNORM, strideCNORM, offsetCNORM ) {
if ( !isMatrixTriangle( uplo ) ) {
throw new TypeError( format( 'invalid argument. First argument must be a valid side. Value: `%s`.', uplo ) );
}
if ( !isTransposeOperation( trans ) ) {
throw new TypeError( format( 'invalid argument. Second argument must be a valid transpose operation. Value: `%s`.', trans ) );
}
if ( !isDiagonalType( diag ) ) {
throw new TypeError( format( 'invalid argument. Third argument must be a valid diagonal type. Value: `%s`.', diag ) );
}
if ( normin !== 'yes' && normin !== 'no' ) {
throw new TypeError( format( 'invalid argument. Fourth argument must be either yes or no. Value: `%s`.', normin ) );
}
return base( uplo, trans, diag, normin, N, A, strideA1, strideA2, offsetA, X, strideX, offsetX, CNORM, strideCNORM, offsetCNORM );
}
// EXPORTS //
module.exports = dlatrs;
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