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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 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 | 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 44x 44x 44x 44x 44x 44x 44x 44x 44x 44x 44x 44x 44x 44x 44x 44x 44x 44x 24x 24x 24x 44x 20x 20x 20x 20x 44x 32x 32x 44x 12x 12x 12x 44x 44x 44x 4x 44x 40x 40x 44x 44x 4x 4x 40x 40x 44x 26x 44x 18x 54x 54x 54x 126x 126x 126x 126x 126x 126x 54x 18x 18x 22x 22x 22x 22x 22x 44x 66x 66x 66x 154x 154x 154x 154x 154x 154x 66x 66x 66x 22x 44x 3x 3x 3x 3x 3x | /** * @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. */ /* eslint-disable max-len, max-params */ 'use strict'; // MODULES // var isRowMajor = require( '@stdlib/ndarray/base/assert/is-row-major' ); var dfill = require( '@stdlib/blas/ext/base/dfill' ).ndarray; var dscal = require( '@stdlib/blas/base/dscal' ).ndarray; var max = require( '@stdlib/math/base/special/max' ); var min = require( '@stdlib/math/base/special/min' ); // MAIN // /** * Performs one of the matrix-vector operations `y := α*A*x + β*y, or y := α*A**T*x + β*y`, where `α` and `β` are scalars, `x` and `y` are vectors and `A` is an `M` by `N` band matrix, with `KL` sub-diagonals and `KU` super-diagonals. * * @private * @param {string} trans - specifies whether `A` should be transposed, conjugate-transposed, or not transposed * @param {NonNegativeInteger} M - number of rows in the matrix `A` * @param {NonNegativeInteger} N - number of columns in the matrix `A` * @param {NonNegativeInteger} KL - number of sub-diagonals of matrix `A` * @param {NonNegativeInteger} KU - number of super-diagonals of matrix `A` * @param {number} alpha - scalar constant * @param {Float32Array} 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 {Float32Array} x - first input vector * @param {integer} strideX - `x` stride length * @param {NonNegativeInteger} offsetX - starting index for `x` * @param {number} beta - scalar constant * @param {Float32Array} y - second input vector * @param {integer} strideY - `y` stride length * @param {NonNegativeInteger} offsetY - starting index for `y` * @returns {Float32Array} `y` * * @example * var Float32Array = require( '@stdlib/array/float32' ); * * var A = new Float32Array( [ 0.0, 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 0.0 ] ); * var x = new Float32Array( [ 1.0, 1.0, 1.0 ] ); * var y = new Float32Array( [ 0.0, 0.0, 0.0 ] ); * * dgbmv( 'no-transpose', 3, 3, 1, 1, 1.0, A, 3, 1, 0, x, 1, 0, 1.0, y, 1, 0 ); * // y => <Float32Array>[ 3.0, 12.0, 13.0 ] */ function dgbmv( trans, M, N, KL, KU, alpha, A, strideA1, strideA2, offsetA, x, strideX, offsetX, beta, y, strideY, offsetY ) { var aidx; var isrm; var xlen; var ylen; var kup1; var tmp; var iy1; var sa0; var sa1; var i1; var i0; var oa; // Note on variable naming convention: sa#, ix#, i# where # corresponds to the loop number, with `0` being the innermost loop... isrm = isRowMajor( [ strideA1, strideA2 ] ); if ( isrm ) { // For row-major matrices, the last dimension has the fastest changing index... sa0 = strideA2; // stride for innermost loop sa1 = strideA1; // stride for outermost loop } else { // isColMajor // For column-major matrices, the first dimension has the fastest changing index... sa0 = strideA1; // stride for innermost loop sa1 = strideA2; // stride for outermost loop } if ( trans === 'no-transpose' ) { xlen = N; ylen = M; } else { xlen = M; ylen = N; } // y = beta * y if ( beta !== 1.0 ) { if ( beta === 0.0 ) { dfill( ylen, 0.0, y, strideY, offsetY ); } else { dscal( ylen, beta, y, strideY, offsetY ); } } if ( alpha === 0.0 ) { return y; } // Form: y = α*A*x + y if ( ( !isrm && trans === 'no-transpose' ) || ( isrm && trans !== 'no-transpose' ) ) { for ( i1 = 0; i1 < xlen; i1++ ) { tmp = alpha * x[ offsetX + ( i1 * strideX ) ]; oa = offsetA + ( sa1 * i1 ); for ( i0 = max( 0, i1 - KU ); i0 < min( ylen, i1 + KL + 1 ); i0++ ) { kup1 = i0 - i1; aidx = oa + ( ( kup1 + KU ) * sa0 ); if ( aidx >= 0 ) { y[ offsetY + ( i0 * strideY ) ] = y[ offsetY + ( i0 * strideY ) ] + ( A[ aidx ] * tmp ); } } } return y; } // Form: y = α*A^T*x + y // ( !isrm && trans !== 'no-transpose' ) || ( isrm && trans === 'no-transpose' ) kup1 = KU + 1; iy1 = offsetY; for ( i1 = 0; i1 < ylen; i1++ ) { tmp = 0.0; oa = offsetA + ( sa1 * i1 ); for ( i0 = max( 0, i1 - KU ); i0 < min( xlen, i1 + KL + 1 ); i0++ ) { kup1 = i0 - i1; aidx = oa + ( ( kup1 + KU ) * sa0 ); if ( i0 < xlen && aidx >= 0 ) { tmp += A[ aidx ] * x[ i0 ]; } } y[ iy1 ] += alpha * tmp; iy1 += strideY; } return y; } // EXPORTS // module.exports = dgbmv; |