---
title: "vSgemv(_:_:_:_:_:_:_:_:)"
framework: accelerate
role: symbol
role_heading: Function
path: "accelerate/vsgemv(_:_:_:_:_:_:_:_:)"
---

# vSgemv(_:_:_:_:_:_:_:_:)

Multiplies a vector by a scalar. Multiplies a matrix by another scalar, then by a second vector, and adds the resulting vector to the first vector. This function can also perform the calculation with the transpose of the original matrix instead of the matrix itself. A selector parameter determines whether the transpose is used.

## Declaration

```swift
func vSgemv(_ forma: CChar, _ m: Int32, _ n: Int32, _ alpha: Float, _ a: UnsafePointer<vFloat>, _ x: UnsafePointer<vFloat>, _ beta: Float, _ y: UnsafeMutablePointer<vFloat>)
```

## Parameters

- `forma`: Selects the variant computation to be performed: ‘T’ causes the transpose of matrix a to be used, ‘N’ causes a itself to be used.
- `m`: Number of rows in a. If forma = ‘N’, m is the length of vector y; if forma = ‘T’, m is the length of vector x; must be a multiple of 4.
- `n`: Number of columns in a. If forma = ‘N’, m is the length of vector x; if forma = ‘T’, m is the length of vector y; must be a multiple of 4.
- `alpha`: Scalar multiplier for matrix a.
- `a`: m by n matrix with elements of type float.
- `x`: Vector with elements of type float.
- `beta`: Scalar multiplier for vector y.
- `y`: Destination vector with n elements of type float.

## Discussion

Discussion Vector y is multiplied by beta. Matrix a is multiplied by alpha. Then if forma = ‘N’, a is multiplied by vector x; if forma = ‘T’, the transpose of a is multiplied by x. The resulting vector is added to vector y, and the results are stored in y.

## See Also

### Matrix-Vector Linear Algebra Functions (from vectorOps.h)

- [vSgemx(_:_:_:_:_:_:)](accelerate/vsgemx(_:_:_:_:_:_:).md)
- [vSgemtx(_:_:_:_:_:_:)](accelerate/vsgemtx(_:_:_:_:_:_:).md)