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Compute the binomial coefficient as a single-precision floating-point number.

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Binomial Coefficient

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Compute the binomial coefficient as a single-precision floating-point number.

The binomial coefficient of two nonnegative integers n and k is defined as

$$\binom {n}{k} = \frac{n!}{k!\,(n-k)!} \quad \text{for }\ 0\leq k\leq n$$

The binomial coefficient can be generalized to negative integers n as follows:

$$\binom {-n}{k} = (-1)^{k} \binom{n + k - 1}{k} = (-1)^{k} \left(\!\!{\binom {n}{k}}\!\!\right)$$

Usage

import binomcoeff from 'https://cdn.jsdelivr.net/gh/stdlib-js/math-base-special-binomcoeff@esm/index.mjs';

binomcoeff( n, k )

Evaluates the binomial coefficient of two integers n and k as a single-precision floating-point number.

var v = binomcoeff( 8, 2 );
// returns 28

v = binomcoeff( 0, 0 );
// returns 1

v = binomcoeff( -4, 2 );
// returns 10

v = binomcoeff( 5, 3 );
// returns 10

v = binomcoeff( NaN, 3 );
// returns NaN

v = binomcoeff( 5, NaN );
// returns NaN

v = binomcoeff( NaN, NaN );
// returns NaN

For negative k, the function returns 0.

var v = binomcoeff( 2, -1 );
// returns 0

v = binomcoeff( -3, -1 );
// returns 0

The function returns NaN for non-integer n or k.

var v = binomcoeff( 2, 1.5 );
// returns NaN

v = binomcoeff( 5.5, 2 );
// returns NaN

Examples

<!DOCTYPE html>
<html lang="en">
<body>
<script type="module">

import discreteUniform from 'https://cdn.jsdelivr.net/gh/stdlib-js/random-array-discrete-uniform@esm/index.mjs';
import logEachMap from 'https://cdn.jsdelivr.net/gh/stdlib-js/console-log-each-map@esm/index.mjs';
import binomcoeff from 'https://cdn.jsdelivr.net/gh/stdlib-js/math-base-special-binomcoeff@esm/index.mjs';

var opts = {
    'dtype': 'int32'
};
var n = discreteUniform( 100, -10, 30, opts );
var k = discreteUniform( 100, 0, 20, opts );

logEachMap( 'binomcoeff(%d,%d) = %0.4f', n, k, binomcoeff );

</script>
</body>
</html>

Notice

This package is part of stdlib, a standard library 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.

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