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Evaluate a polynomial using single-precision floating-point arithmetic.
A polynomial in a variable x can be expressed as
where c_n, c_{n-1}, ..., c_0 are constants.
npm install @stdlib/math-base-tools-evalpolyfvar evalpolyf = require( '@stdlib/math-base-tools-evalpolyf' );Evaluates a polynomial having coefficients c and degree n at a value x, where n = c.length-1.
var Float32Array = require( '@stdlib/array-float32' );
var v = evalpolyf( new Float32Array( [ 3.0, 2.0, 1.0 ] ), 10 ); // => 3*10^0 + 2*10^1 + 1*10^2
// returns 123.0The coefficients should be ordered in ascending degree, thus matching summation notation.
Uses code generation to in-line coefficients and return a function for evaluating a polynomial using single-precision floating-point arithmetic.
var Float32Array = require( '@stdlib/array-float32' );
var polyval = evalpolyf.factory( new Float32Array( [ 3.0, 2.0, 1.0 ] ) );
var v = polyval( 10.0 ); // => 3*10^0 + 2*10^1 + 1*10^2
// returns 123.0
v = polyval( 5.0 ); // => 3*5^0 + 2*5^1 + 1*5^2
// returns 38.0- For hot code paths in which coefficients are invariant, a compiled function will be more performant than
evalpolyf(). - While code generation can boost performance, its use may be problematic in browser contexts enforcing a strict content security policy (CSP). If running in or targeting an environment with a CSP, avoid using code generation.
var discreteUniform = require( '@stdlib/random-array-discrete-uniform' );
var uniform = require( '@stdlib/random-base-uniform' );
var evalpolyf = require( '@stdlib/math-base-tools-evalpolyf' );
// Create an array of random coefficients:
var coef = discreteUniform( 10, -100, 100, {
'dtype': 'float32'
});
// Evaluate the polynomial at random values:
var v;
var i;
for ( i = 0; i < 100; i++ ) {
v = uniform( 0.0, 100.0 );
console.log( 'f(%d) = %d', v, evalpolyf( coef, v ) );
}
// Generate an `evalpolyf` function:
var polyval = evalpolyf.factory( coef );
for ( i = 0; i < 100; i++ ) {
v = uniform( -50.0, 50.0 );
console.log( 'f(%d) = %d', v, polyval( v ) );
}This package is part of stdlib, a standard library for JavaScript and Node.js, with an emphasis on numerical and scientific computing. The library provides a collection of robust, high performance libraries for mathematics, statistics, streams, utilities, and more.
For more information on the project, filing bug reports and feature requests, and guidance on how to develop stdlib, see the main project repository.
See LICENSE.
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