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 67 68 69 70 71 72 73 | 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 2x 2x 2x 2x 2x 2x 2x 13x 13x 13x 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 base = require( './base.js' ); // MAIN // /** * Estimates the one-norm of a square matrix `A`, using alternative indexing semantics and reverse communication for evaluating matrix-vector products. * * ## Notes * * the reverse communication takes place using `KASE`, it may have any of these values: * * - `0`: estimation is complete * - `1`: caller must compute `A * X` and store the result back in `X` * - `2`: caller must compute `A' * X` (transpose) and store the result back in `X` * * @param {PositiveInteger} N - number of rows/columns in `A` * @param {Float64Array} V - workspace array having `N` indexed elements, used internally to store intermediate vectors * @param {Float64Array} X - input/output vector having `N` indexed elements, contains the current or next matrix-vector product * @param {Int32Array} ISGN - integer array having `N` indexed elements, stores the sign of each element in `X` during iterations * @param {Float64Array} EST - single-element array, on output, contains the estimated one-norm of the matrix `A` * @param {Int32Array} KASE - single-element array that controls the reverse communication. * @param {Int32Array} ISAVE - integer array of having 3 indexed elements, used internally to maintain state across multiple calls * @returns {void} * * @example * var Int32Array = require( '@stdlib/array/int32' ); * var Float64Array = require( '@stdlib/array/float64' ); * * var V = new Float64Array( [ 5.0, 3.0, 1.0, 5.0 ] ); * var X = new Float64Array( [ 1.0, 2.0, 3.0, 4.0 ] ); * var ISGN = new Int32Array( [ 1, 1, 1, 1 ] ); * var EST = new Float64Array( [ 10 ] ) * var KASE = new Int32Array( [ 1 ] ) * var ISAVE = new Int32Array( [ 2, 3, 1 ] ); * * dlacn2( 4, V, X, ISGN, EST, KASE, ISAVE ); * // X => <Float64Array>[ 0.0, 0.0, 0.0, 1.0 ] * // V => <Float64Array>[ 5.0, 3.0, 1.0, 5.0 ] * // EST => <Float64Array>[ 10.0 ] * // KASE => <Int32Array>[ 1 ] */ function dlacn2( N, V, X, ISGN, EST, KASE, ISAVE ) { return base( N, V, 1, 0, X, 1, 0, ISGN, 1, 0, EST, 0, KASE, 0, ISAVE, 1, 0 ); // eslint-disable-line max-len } // EXPORTS // module.exports = dlacn2; |