# sscal
> Multiply a single-precision floating-point vector `x` by a constant `alpha`.
## Usage
```javascript
var sscal = require( '@stdlib/blas/base/sscal' );
```
#### sscal( N, alpha, x, stride )
Multiplies a single-precision floating-point vector `x` by a constant `alpha`.
```javascript
var Float32Array = require( '@stdlib/array/float32' );
var x = new Float32Array( [ -2.0, 1.0, 3.0, -5.0, 4.0, 0.0, -1.0, -3.0 ] );
sscal( x.length, 5.0, x, 1 );
// x => [ -10.0, 5.0, 15.0, -25.0, 20.0, 0.0, -5.0, -15.0 ]
```
The function has the following parameters:
- **N**: number of indexed elements.
- **alpha**: scalar constant.
- **x**: input [`Float32Array`][@stdlib/array/float32].
- **stride**: index increment.
The `N` and `stride` parameters determine which elements in `x` are accessed at runtime. For example, to multiply every other value by a constant
```javascript
var Float32Array = require( '@stdlib/array/float32' );
var x = new Float32Array( [ -2.0, 1.0, 3.0, -5.0, 4.0, 0.0, -1.0, -3.0 ] );
sscal( 4, 5.0, x, 2 );
// x => [ -10.0, 1.0, 15.0, -5.0, 20.0, 0.0, -5.0, -3.0 ]
```
Note that indexing is relative to the first index. To introduce an offset, use [`typed array`][mdn-typed-array] views.
```javascript
var Float32Array = require( '@stdlib/array/float32' );
// Initial array:
var x0 = new Float32Array( [ 1.0, -2.0, 3.0, -4.0, 5.0, -6.0 ] );
// Create an offset view:
var x1 = new Float32Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 ); // start at 2nd element
// Scale every other value:
sscal( 3, 5.0, x1, 2 );
// x0 => [ 1.0, -10.0, 3.0, -20.0, 5.0, -30.0 ]
```
If either `N` or `stride` is less than or equal to `0`, the function returns `x` unchanged.
#### sscal.ndarray( N, alpha, x, stride, offset )
Multiplies a single-precision floating-point vector `x` by a constant `alpha` using alternative indexing semantics.
```javascript
var Float32Array = require( '@stdlib/array/float32' );
var x = new Float32Array( [ -2.0, 1.0, 3.0, -5.0, 4.0, 0.0, -1.0, -3.0 ] );
sscal.ndarray( x.length, 5.0, x, 1, 0 );
// x => [ -10.0, 5.0, 15.0, -25.0, 20.0, 0.0, -5.0, -15.0 ]
```
The function has the following additional parameters:
- **offset**: starting index.
While [`typed array`][mdn-typed-array] views mandate a view offset based on the underlying buffer, the `offset` parameter supports indexing semantics based on a starting index. For example, to multiply the last three elements of `x` by a constant
```javascript
var Float32Array = require( '@stdlib/array/float32' );
var x = new Float32Array( [ 1.0, -2.0, 3.0, -4.0, 5.0, -6.0 ] );
sscal.ndarray( 3, 5.0, x, 1, x.length-3 );
// x => [ 1.0, -2.0, 3.0, -20.0, 25.0, -30.0 ]
```
## Notes
- If `N <= 0`, both functions return `x` unchanged.
- `sscal()` corresponds to the [BLAS][blas] level 1 function [`sscal`][sscal].
## Examples
```javascript
var discreteUniform = require( '@stdlib/random/array/discrete-uniform' );
var sscal = require( '@stdlib/blas/base/sscal' );
var opts = {
'dtype': 'float32'
};
var x = discreteUniform( 10, -100, 100, opts );
console.log( x );
sscal( x.length, 5.0, x, 1 );
console.log( x );
```
[blas]: http://www.netlib.org/blas
[sscal]: http://www.netlib.org/lapack/explore-html/df/d28/group__single__blas__level1.html
[@stdlib/array/float32]: https://www.npmjs.com/package/@stdlib/array-float32
[mdn-typed-array]: https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/TypedArray
[@stdlib/blas/base/daxpy]: https://github.com/stdlib-js/blas/tree/main/base/daxpy
[@stdlib/blas/base/dscal]: https://github.com/stdlib-js/blas/tree/main/base/dscal
[@stdlib/blas/base/gscal]: https://github.com/stdlib-js/blas/tree/main/base/gscal
[@stdlib/blas/base/saxpy]: https://github.com/stdlib-js/blas/tree/main/base/saxpy