Press n or j to go to the next uncovered block, b, p or k for the previous block.
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 | 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 13x 13x 6x 19x 2x 2x 2x 2x 2x | /** * @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 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` using alternative indexing semantics. * * @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 {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` * @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( 'general', 0, 0, 1.0, 2.0, 3, 2, A, 2, 1, 0 ); * // A => <Float64Array>[ 2.0, 4.0, 6.0, 8.0, 10.0, 12.0 ] */ function dlascl( type, KL, KU, CFROM, CTO, M, N, A, strideA1, strideA2, offsetA ) { // eslint-disable-line max-len, max-params 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 ) ); } return base( type, KL, KU, CFROM, CTO, M, N, A, strideA1, strideA2, offsetA ); // eslint-disable-line max-len } // EXPORTS // module.exports = dlascl; |