/*
* @license Apache-2.0
*
* Copyright (c) 2024 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.
*/
// TypeScript Version: 4.1
///
import { Layout, TransposeOperation } from '@stdlib/types/blas';
/**
* Interface describing `sgemv`.
*/
interface Routine {
/**
* 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` matrix.
*
* @param order - storage layout
* @param trans - specifies whether `A` should be transposed, conjugate-transposed, or not transposed
* @param M - number of rows in the matrix `A`
* @param N - number of columns in the matrix `A`
* @param alpha - scalar constant
* @param A - input matrix
* @param LDA - stride of the first dimension of `A` (a.k.a., leading dimension of the matrix `A`)
* @param x - first input vector
* @param strideX - `x` stride length
* @param beta - scalar constant
* @param y - second input vector
* @param strideY - `y` stride length
* @returns `y`
*
* @example
* var Float32Array = require( '@stdlib/array/float32' );
*
* var A = new Float32Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
* var x = new Float32Array( [ 1.0, 1.0, 1.0 ] );
* var y = new Float32Array( [ 1.0, 1.0 ] );
*
* sgemv( 'row-major', 'no-transpose', 2, 3, 1.0, A, 3, x, 1, 1.0, y, 1 );
* // y => [ 7.0, 16.0 ]
*/
( order: Layout, trans: TransposeOperation, M: number, N: number, alpha: number, A: Float32Array, LDA: number, x: Float32Array, strideX: number, beta: number, y: Float32Array, strideY: number ): Float32Array;
/**
* Performs one of the matrix-vector operations `y = α*A*x + β*y` or `y = α*A^T*x + β*y`, using alternative indexing semantics and where `α` and `β` are scalars, `x` and `y` are vectors, and `A` is an `M` by `N` matrix.
*
* @param trans - specifies whether `A` should be transposed, conjugate-transposed, or not transposed
* @param M - number of rows in the matrix `A`
* @param N - number of columns in the matrix `A`
* @param alpha - scalar constant
* @param A - input matrix
* @param strideA1 - stride of the first dimension of `A`
* @param strideA2 - stride of the second dimension of `A`
* @param offsetA - starting index for `A`
* @param x - first input vector
* @param strideX - `x` stride length
* @param offsetX - starting index for `x`
* @param beta - scalar constant
* @param y - second input vector
* @param strideY - `y` stride length
* @param offsetY - starting index for `y`
* @returns `y`
*
* @example
* var Float32Array = require( '@stdlib/array/float32' );
*
* var A = new Float32Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
* var x = new Float32Array( [ 1.0, 1.0, 1.0 ] );
* var y = new Float32Array( [ 1.0, 1.0 ] );
*
* sgemv( 'no-transpose', 2, 3, 1.0, A, 3, 1, 0, x, 1, 0, 1.0, y, 1, 0 );
* // y => [ 7.0, 16.0 ]
*/
ndarray( trans: TransposeOperation, M: number, N: number, alpha: number, A: Float32Array, strideA1: number, strideA2: number, offsetA: number, x: Float32Array, strideX: number, offsetX: number, beta: number, y: Float32Array, strideY: number, offsetY: number ): Float32Array;
}
/**
* 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` matrix.
*
* @param order - storage layout
* @param trans - specifies whether `A` should be transposed, conjugate-transposed, or not transposed
* @param M - number of rows in the matrix `A`
* @param N - number of columns in the matrix `A`
* @param alpha - scalar constant
* @param A - input matrix
* @param LDA - stride of the first dimension of `A` (a.k.a., leading dimension of the matrix `A`)
* @param x - first input vector
* @param strideX - `x` stride length
* @param beta - scalar constant
* @param y - second input vector
* @param strideY - `y` stride length
* @returns `y`
*
* @example
* var Float32Array = require( '@stdlib/array/float32' );
*
* var A = new Float32Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0 ] );
* var x = new Float32Array( [ 1.0, 1.0, 1.0 ] );
* var y = new Float32Array( [ 1.0, 1.0, 1.0 ] );
*
* sgemv( 'row-major', 'no-transpose', 3, 3, 1.0, A, 3, x, -1, 1.0, y, -1 );
* // y => [ 25.0, 16.0, 7.0 ]
*
* @example
* var Float32Array = require( '@stdlib/array/float32' );
*
* var A = new Float32Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0 ] );
* var x = new Float32Array( [ 1.0, 1.0, 1.0 ] );
* var y = new Float32Array( [ 1.0, 1.0, 1.0 ] );
*
* sgemv.ndarray( 'no-transpose', 3, 3, 1.0, A, 3, 1, 0, x, -1, 2, 1.0, y, -1, 2 );
* // y => [ 25.0, 16.0, 7.0 ]
*/
declare var sgemv: Routine;
// EXPORTS //
export = sgemv;