Usage

`javascript
var compile = require( '@stdlib/math-base-tools-evalpoly-compile-c' );
`

#### compile( c\[, options] )

Compiles a C function for evaluating a [polynomial][@stdlib/math/base/tools/evalpoly] having coefficients c.

`javascript
var str = compile( [ 3.0, 2.0, 1.0 ] );
// returns
`

The function supports the following options:

- dtype: input argument floating-point data type (e.g., double or float). Default: 'double'.
- name: function name. Default: 'evalpoly'.

In the example above, the output string would correspond to the following function:

`c
/**
* Evaluates a polynomial.
*
* ## Notes
*
* - The implementation uses [Horner's rule][horners-method] for efficient computation.
*
* [horners-method]: https://en.wikipedia.org/wiki/Horner%27s_method
*
* @param x value at which to evaluate the polynomial
* @return evaluated polynomial
*/
static double evalpoly( const double x ) {
return 3.0 + (x (2.0 + (x 1.0)));
}
`

To generate a function having a custom name and supporting single-precision floating-point numbers, provide the corresponding options.

`javascript
var opts = {
'dtype': 'float',
'name': 'polyval123'
};
var str = compile( [ 3.0, 2.0, 1.0 ], opts );
// returns
`

For the previous example, the output string would correspond to the following function:

`c
/**
* Evaluates a polynomial.
*
* ## Notes
*
* - The implementation uses [Horner's rule][horners-method] for efficient computation.
*
* [horners-method]: https://en.wikipedia.org/wiki/Horner%27s_method
*
* @param x value at which to evaluate the polynomial
* @return evaluated polynomial
*/
static float polyval123( const float x ) {
return 3.0f + (x (2.0f + (x 1.0f)));
}
`