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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';
// MODULES //
var isLayout = require( '@stdlib/blas/base/assert/is-layout' );
var isRowMajor = require( '@stdlib/ndarray/base/assert/is-row-major-string' );
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 //
/**
* Multiplies a real M by N matrix `A` by a real scalar `CTO/CFROM`.
*
* @param {string} order - storage layout
* @param {string} type - specifies the type of matrix `A`
* @param {NonNegativeInteger} KL - lower band width of `A`. Referenced only if type is `symmetric-banded-lower` or `banded`.
* @param {NonNegativeInteger} KU - upper band width of `A`. Referenced only if type is `symmetric-banded-upper` or `banded`.
* @param {number} CFROM - the matrix `A` are multiplied by `CTO / CFROM`
* @param {number} CTO - the matrix `A` are multiplied by `CTO / CFROM`
* @param {NonNegativeInteger} M - number of rows in matrix `A`
* @param {NonNegativeInteger} N - number of columns in matrix `A`
* @param {Float64Array} A - input matrix
* @param {PositiveInteger} LDA - stride of the first dimension of `A` (a.k.a., leading dimension of the matrix `A`)
* @throws {TypeError} first argument must be a valid order
* @throws {RangeError} fourth argument must be greater than or equal to max(1,N)
* @returns {Float64Array} scaled matrix `A`
*
* @example
* var Float64Array = require( '@stdlib/array/float64' );
*
* var A = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] ); // => [ [ 1.0, 2.0 ], [ 3.0, 4.0 ], [ 5.0, 6.0 ] ]
*
* dlascl( 'row-major', 'general', 0, 0, 1.0, 2.0, 3, 2, A, 2 );
* // A => <Float64Array>[ 2.0, 4.0, 6.0, 8.0, 10.0, 12.0 ]
*/
function dlascl( order, type, KL, KU, CFROM, CTO, M, N, A, LDA ) {
var sa1;
var sa2;
var s;
if ( !isLayout( order ) ) {
throw new TypeError( format( 'invalid argument. First argument must be a valid order. Value: `%s`.', order ) );
}
if ( type !== 'general' && type !== 'upper' && type !== 'lower' && type !== 'upper-hessenberg' && type !== 'symmetric-banded-lower' && type !== 'symmetric-banded-upper' && type !== 'banded' ) {
throw new TypeError( format( 'invalid argument. First argument must be a valid matrix type. Value: `%s`.', type ) );
}
if ( type === 'general' || type === 'upper' || type === 'lower' || type === 'upper-hessenberg' ) {
if ( isRowMajor( order ) ) {
s = N;
} else {
s = M;
}
if ( LDA < max( 1, s ) ) {
throw new RangeError( format( 'invalid argument. Fifth argument must be greater than or equal to max(1,%d). Value: `%d`.', s, LDA ) );
}
} else if ( type === 'symmetric-banded-lower' ) {
if ( LDA < max( 1, KL+1 ) ) {
throw new RangeError( format( 'invalid argument. Fifth argument must be greater than or equal to max(1,%d). Value: `%d`.', KL+1, LDA ) );
}
} else if ( type === 'symmetric-banded-upper' ) {
if ( LDA < max( 1, KU+1 ) ) {
throw new RangeError( format( 'invalid argument. Fifth argument must be greater than or equal to max(1,%d). Value: `%d`.', KU+1, LDA ) );
}
} else if ( LDA < max( 1, (2*KL) + KU +1 ) ) {
throw new RangeError( format( 'invalid argument. Fifth argument must be greater than or equal to max(1,%d). Value: `%d`.', (2*KL) + KU +1, LDA ) );
}
if ( isColumnMajor( order ) ) {
sa1 = 1;
sa2 = LDA;
} else { // order === 'row-major'
sa1 = LDA;
sa2 = 1;
}
return base( type, KL, KU, CFROM, CTO, M, N, A, sa1, sa2, 0 );
}
// EXPORTS //
module.exports = dlascl;
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