# ndarray-blas-gemv

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BLAS Level 2 GEMV (matrix-vector multiply) for [ndarrays](https://github.com/scijs/ndarray)

## Usage

#### `gemv( alpha, A, x, beta, y )`
Calculate `y <- alpha * A * x + beta * y` for scalar alpha, matrix A, vector x, scalar beta, and vector y. Result is overwritten in vector y. All other inputs are unchanged.

## Example

```javascript
var gemv = require('ndarray-blas-gemv')

var A = ndarray([1,2,5,3], [2,2]),
    x = ndarray([-4,7]),
    y = ndarray([3,-2])

gemv( -4, A, x, 2, y )

// Result: y = [-34, -8]
```

To multiply using the transpose of A, you can simply use `.transpose(1,0)` to transpose the input (note that this calculates new strides and offsets but does not rearrange the physical memory).

```javascript
var A = ndarray([1,2,5,3], [2,2]),
    x = ndarray([-4,7]),
    y = ndarray([3,-2])

gemv( -4, A.transpose(1,0), x, 2, y )

// Result: y = [-118, -56]
```


## Credits
(c) 2015 Ricky Reusser. MIT License



BLAS Level 2 GEMV (Matrix-Vector multiply) for ndarrays. 

Supply Chain Attack on Axios Pulls Malicious Dependency from npm

ndarray-blas-gemv

BLAS Level 2 GEMV (Matrix-Vector multiply) for ndarrays

rreusser

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ndarray-blas-gemv