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| 1 | +/** |
| 2 | +* @license Apache-2.0 |
| 3 | +* |
| 4 | +* Copyright (c) 2025 The Stdlib Authors. |
| 5 | +* |
| 6 | +* Licensed under the Apache License, Version 2.0 (the "License"); |
| 7 | +* you may not use this file except in compliance with the License. |
| 8 | +* You may obtain a copy of the License at |
| 9 | +* |
| 10 | +* http://www.apache.org/licenses/LICENSE-2.0 |
| 11 | +* |
| 12 | +* Unless required by applicable law or agreed to in writing, software |
| 13 | +* distributed under the License is distributed on an "AS IS" BASIS, |
| 14 | +* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. |
| 15 | +* See the License for the specific language governing permissions and |
| 16 | +* limitations under the License. |
| 17 | +*/ |
| 18 | + |
| 19 | +'use strict'; |
| 20 | + |
| 21 | +// MODULES // |
| 22 | + |
| 23 | +var isRowMajor = require( '@stdlib/ndarray/base/assert/is-row-major' ); |
| 24 | +var loopOrder = require( '@stdlib/ndarray/base/nullary-loop-interchange-order' ); |
| 25 | +var min = require( '@stdlib/math/base/special/fast/min' ); |
| 26 | + |
| 27 | + |
| 28 | +// FUNCTIONS // |
| 29 | + |
| 30 | +/** |
| 31 | +* Initialises an M by N matrix `A` to `beta` on the diagonals and `alpha` on the off diagonals, setting all of matrix `A`. |
| 32 | +* |
| 33 | +* @private |
| 34 | +* @param {NonNegativeInteger} M - number of rows in matrix `A` |
| 35 | +* @param {NonNegativeInteger} N - number of columns in matrix `A` |
| 36 | +* @param {Float64Array} A - input matrix |
| 37 | +* @param {integer} strideA1 - stride of the first dimension of `A` |
| 38 | +* @param {integer} strideA2 - stride of the second dimension of `A` |
| 39 | +* @param {NonNegativeInteger} offsetA - starting index for `A` |
| 40 | +* @param {number} alpha - number to set on off diagonal elements |
| 41 | +* @param {number} beta - number to set on diagonal elements |
| 42 | +* @returns {Float64Array} `A` |
| 43 | +* |
| 44 | +* @example |
| 45 | +* var Float64Array = require( '@stdlib/array/float64' ); |
| 46 | +* |
| 47 | +* var A = new Float64Array( 4 ); |
| 48 | +* |
| 49 | +* setAll( 2, 2, A, 2, 1, 0, 0.0, 1.0 ); |
| 50 | +* // A => <Float64Array>[ 1.0, 0.0, 0.0, 1.0 ] |
| 51 | +*/ |
| 52 | +function setAll( M, N, A, strideA1, strideA2, offsetA, alpha, beta ) { |
| 53 | + var da0; |
| 54 | + var da1; |
| 55 | + var sh; |
| 56 | + var S0; |
| 57 | + var S1; |
| 58 | + var sa; |
| 59 | + var ia; |
| 60 | + var i0; |
| 61 | + var i1; |
| 62 | + var o; |
| 63 | + |
| 64 | + // Resolve the loop interchange order: |
| 65 | + o = loopOrder( [ M, N ], [ strideA1, strideA2 ] ); |
| 66 | + sh = o.sh; |
| 67 | + sa = o.sx; |
| 68 | + |
| 69 | + // Extract loop variables for purposes of loop interchange: dimensions and loop offset (pointer) increments... |
| 70 | + S0 = sh[ 0 ]; |
| 71 | + S1 = sh[ 1 ]; |
| 72 | + da0 = sa[ 0 ]; |
| 73 | + da1 = sa[ 1 ] - ( S0*sa[0] ); |
| 74 | + |
| 75 | + // Set the pointers to the first indexed elements in the respective matrices... |
| 76 | + ia = offsetA; |
| 77 | + |
| 78 | + // Iterate over the matrix dimensions... |
| 79 | + for ( i1 = 0; i1 < S1; i1++ ) { |
| 80 | + for ( i0 = 0; i0 < S0; i0++ ) { |
| 81 | + A[ ia ] = alpha; |
| 82 | + ia += da0; |
| 83 | + } |
| 84 | + ia += da1; |
| 85 | + } |
| 86 | + |
| 87 | + ia = offsetA; |
| 88 | + for ( i1 = 0; i1 < min( M, N ); i1++ ) { |
| 89 | + A[ ia ] = beta; |
| 90 | + ia += strideA1 + strideA2; |
| 91 | + } |
| 92 | + return A; |
| 93 | +} |
| 94 | + |
| 95 | +/** |
| 96 | +* Initialises an M by N matrix `A` to `beta` on the diagonals and `alpha` on the off diagonals, setting upper triangular elements of `A`. |
| 97 | +* |
| 98 | +* @private |
| 99 | +* @param {NonNegativeInteger} M - number of rows in matrix `A` |
| 100 | +* @param {NonNegativeInteger} N - number of columns in matrix `A` |
| 101 | +* @param {Float64Array} A - input matrix |
| 102 | +* @param {integer} strideA1 - stride of the first dimension of `A` |
| 103 | +* @param {integer} strideA2 - stride of the second dimension of `A` |
| 104 | +* @param {NonNegativeInteger} offsetA - starting index for `A` |
| 105 | +* @param {number} alpha - number to set on off diagonal elements |
| 106 | +* @param {number} beta - number to set on diagonal elements |
| 107 | +* @returns {Float64Array} `A` |
| 108 | +* |
| 109 | +* @example |
| 110 | +* var Float64Array = require( '@stdlib/array/float64' ); |
| 111 | +* |
| 112 | +* var A = new Float64Array( 4 ); |
| 113 | +* |
| 114 | +* setUpper( 2, 2, A, 2, 1, 0, 1.0, 2.0 ); |
| 115 | +* // A => <Float64Array>[ 2.0, 1.0, 0.0, 2.0 ] |
| 116 | +*/ |
| 117 | +function setUpper( M, N, A, strideA1, strideA2, offsetA, alpha, beta ) { |
| 118 | + var ia; |
| 119 | + var i0; |
| 120 | + var i1; |
| 121 | + |
| 122 | + ia = offsetA; |
| 123 | + if ( isRowMajor( [ strideA1, strideA2 ] ) ) { |
| 124 | + for ( i1 = 0; i1 < M; i1++ ) { |
| 125 | + for ( i0 = i1; i0 < N; i0++ ) { |
| 126 | + A[ ia+(i0*strideA2) ] = alpha; |
| 127 | + } |
| 128 | + ia += strideA1; |
| 129 | + } |
| 130 | + } else { |
| 131 | + for ( i1 = 0; i1 < N; i1++ ) { |
| 132 | + for ( i0 = 0; i0 <= min( i1, M-1 ); i0++ ) { |
| 133 | + A[ ia+(i0*strideA1) ] = alpha; |
| 134 | + } |
| 135 | + ia += strideA2; |
| 136 | + } |
| 137 | + } |
| 138 | + |
| 139 | + ia = offsetA; |
| 140 | + for ( i1 = 0; i1 < min( M, N ); i1++ ) { |
| 141 | + A[ ia ] = beta; |
| 142 | + ia += strideA1 + strideA2; |
| 143 | + } |
| 144 | + return A; |
| 145 | +} |
| 146 | + |
| 147 | +/** |
| 148 | +* Initialises an M by N matrix `A` to `beta` on the diagonals and `alpha` on the off diagonals, setting upper triangular elements of `A`. |
| 149 | +* |
| 150 | +* @private |
| 151 | +* @param {NonNegativeInteger} M - number of rows in matrix `A` |
| 152 | +* @param {NonNegativeInteger} N - number of columns in matrix `A` |
| 153 | +* @param {Float64Array} A - input matrix |
| 154 | +* @param {integer} strideA1 - stride of the first dimension of `A` |
| 155 | +* @param {integer} strideA2 - stride of the second dimension of `A` |
| 156 | +* @param {NonNegativeInteger} offsetA - starting index for `A` |
| 157 | +* @param {number} alpha - number to set on off diagonal elements |
| 158 | +* @param {number} beta - number to set on diagonal elements |
| 159 | +* @returns {Float64Array} `A` |
| 160 | +* |
| 161 | +* @example |
| 162 | +* var Float64Array = require( '@stdlib/array/float64' ); |
| 163 | +* |
| 164 | +* var A = new Float64Array( 4 ); |
| 165 | +* |
| 166 | +* setLower( 2, 2, A, 2, 1, 0, 1.0, 2.0 ); |
| 167 | +* // A => <Float64Array>[ 2.0, 0.0, 1.0, 2.0 ] |
| 168 | +*/ |
| 169 | +function setLower( M, N, A, strideA1, strideA2, offsetA, alpha, beta ) { |
| 170 | + var ia; |
| 171 | + var i0; |
| 172 | + var i1; |
| 173 | + |
| 174 | + ia = offsetA; |
| 175 | + if ( isRowMajor( [ strideA1, strideA2 ] ) ) { |
| 176 | + for ( i1 = 0; i1 < M; i1++ ) { |
| 177 | + for ( i0 = 0; i0 <= min( i1, N-1 ); i0++ ) { |
| 178 | + A[ ia+(i0*strideA2) ] = alpha; |
| 179 | + } |
| 180 | + ia += strideA1; |
| 181 | + } |
| 182 | + } else { |
| 183 | + for ( i1 = 0; i1 < N; i1++ ) { |
| 184 | + for ( i0 = i1; i0 < M; i0++ ) { |
| 185 | + A[ ia+(i0*strideA1) ] = alpha; |
| 186 | + } |
| 187 | + ia += strideA2; |
| 188 | + } |
| 189 | + } |
| 190 | + ia = offsetA; |
| 191 | + for ( i1 = 0; i1 < min( M, N ); i1++ ) { |
| 192 | + A[ ia ] = beta; |
| 193 | + ia += strideA1 + strideA2; |
| 194 | + } |
| 195 | + return A; |
| 196 | +} |
| 197 | + |
| 198 | + |
| 199 | +// MAIN // |
| 200 | + |
| 201 | +/** |
| 202 | +* Initialises an M by N matrix `A` to `beta` on the diagonals and `alpha` on the off diagonals. |
| 203 | +* |
| 204 | +* @private |
| 205 | +* @param {string} uplo - specifies whether to copy the upper or lower triangular/trapezoidal part of matrix `A` |
| 206 | +* @param {NonNegativeInteger} M - number of rows in matrix `A` |
| 207 | +* @param {NonNegativeInteger} N - number of columns in matrix `A` |
| 208 | +* @param {Float64Array} A - input matrix |
| 209 | +* @param {integer} strideA1 - stride of the first dimension of `A` |
| 210 | +* @param {integer} strideA2 - stride of the second dimension of `A` |
| 211 | +* @param {NonNegativeInteger} offsetA - starting index for `A` |
| 212 | +* @param {number} alpha - number to set on off diagonal elements |
| 213 | +* @param {number} beta - number to set on diagonal elements |
| 214 | +* @returns {Float64Array} `A` |
| 215 | +* |
| 216 | +* @example |
| 217 | +* var Float64Array = require( '@stdlib/array/float64' ); |
| 218 | +* |
| 219 | +* var A = new Float64Array( 4 ); |
| 220 | +* |
| 221 | +* dlaset( 'all', 2, 2, A, 2, 1, 0, 0.0, 1.0 ); |
| 222 | +* // A => <Float64Array>[ 1.0, 0.0, 0.0, 1.0 ] |
| 223 | +*/ |
| 224 | +function dlaset( uplo, M, N, A, strideA1, strideA2, offsetA, alpha, beta ) { |
| 225 | + if ( uplo === 'upper' ) { |
| 226 | + return setUpper( M, N, A, strideA1, strideA2, offsetA, alpha, beta ); |
| 227 | + } |
| 228 | + if ( uplo === 'lower' ) { |
| 229 | + return setLower( M, N, A, strideA1, strideA2, offsetA, alpha, beta ); |
| 230 | + } |
| 231 | + return setAll( M, N, A, strideA1, strideA2, offsetA, alpha, beta ); |
| 232 | +} |
| 233 | + |
| 234 | + |
| 235 | +// EXPORTS // |
| 236 | + |
| 237 | +module.exports = dlaset; |
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