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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 isMatrixTriangle = require( '@stdlib/blas/base/assert/is-matrix-triangle' );
var resolveUplo = require( '@stdlib/blas/base/matrix-triangle-resolve-enum' );
var format = require( '@stdlib/string/format' );
var addon = require( './../src/addon.node' );
// MAIN //
/**
* Performs the symmetric rank 1 operation `A = α*x*x^T + A` where `α` is a scalar, `x` is an `N` element vector, and `A` is an `N` by `N` symmetric matrix.
*
* @param {string} uplo - specifies whether the upper or lower triangular part of the symmetric matrix `A` should be referenced
* @param {NonNegativeInteger} N - number of elements along each dimension of `A`
* @param {number} alpha - scalar constant
* @param {Float64Array} x - input vector
* @param {integer} strideX - `x` stride length
* @param {NonNegativeInteger} offsetX - starting index for `x`
* @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 specify whether to reference the lower or upper triangular matrix
* @throws {RangeError} second argument must be a nonnegative integer
* @throws {RangeError} fifth argument must be non-zero
* @throws {RangeError} eighth argument must be non-zero
* @throws {RangeError} ninth argument must be non-zero
* @returns {Float64Array} `A`
*
* @example
* var Float64Array = require( '@stdlib/array/float64' );
*
* var A = new Float64Array( [ 1.0, 2.0, 3.0, 2.0, 1.0, 2.0, 3.0, 2.0, 1.0 ] ); // => [ [ 1.0, 2.0, 3.0 ], [ 2.0, 1.0, 2.0 ], [ 3.0, 2.0, 1.0 ] ]
* var x = new Float64Array( [ 1.0, 2.0, 3.0 ] );
*
* dsyr( 'upper', 3, 1.0, x, 1, 0, A, 3, 1, 0 );
* // A => <Float64Array>[ 2.0, 4.0, 6.0, 2.0, 5.0, 8.0, 3.0, 2.0, 10.0 ]
*/
function dsyr( uplo, N, alpha, x, strideX, offsetX, A, strideA1, strideA2, offsetA ) { // eslint-disable-line max-len
if ( !isMatrixTriangle( uplo ) ) {
throw new TypeError( format( 'invalid argument. First argument must specify whether to reference the lower or upper triangular matrix. Value: `%s`.', uplo ) );
}
if ( N < 0 ) {
throw new RangeError( format( 'invalid argument. Second argument must be a nonnegative integer. Value: `%d`.', N ) );
}
if ( strideX === 0 ) {
throw new RangeError( format( 'invalid argument. Fifth argument must be non-zero. Value: `%d`.', strideX ) );
}
if ( strideA1 === 0 ) {
throw new RangeError( format( 'invalid argument. Eighth argument must be non-zero. Value: `%d`.', strideA1 ) );
}
if ( strideA2 === 0 ) {
throw new RangeError( format( 'invalid argument. Ninth argument must be non-zero. Value: `%d`.', strideA2 ) );
}
// Check if we can early return...
if ( N === 0 || alpha === 0.0 ) {
return A;
}
addon.ndarray( resolveUplo( uplo ), N, alpha, x, strideX, offsetX, A, strideA1, strideA2, offsetA ); // eslint-disable-line max-len
return A;
}
// EXPORTS //
module.exports = dsyr;
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