@stdlib/stats-incr-sumprod
v0.2.2
Published
Compute a sum of products incrementally.
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incrsumprod
Compute a sum of products incrementally.
The sum of products is defined as
Installation
npm install @stdlib/stats-incr-sumprod
Usage
var incrsumprod = require( '@stdlib/stats-incr-sumprod' );
incrsumprod()
Returns an accumulator function
which incrementally computes a sum of products.
var accumulator = incrsumprod();
accumulator( [x, y] )
If provided input values x
and y
, the accumulator function returns an updated sum. If not provided input value x
and y
, the accumulator function returns the current sum.
var accumulator = incrsumprod();
var sum = accumulator( 2.0, 3.0 );
// returns 6.0
sum = accumulator( 1.0, -1.0 );
// returns 5.0
sum = accumulator( 3.0, 4.0 );
// returns 17.0
sum = accumulator();
// returns 17.0
Notes
- Input values are not type checked. If provided
NaN
or a value which, when used in computations, results inNaN
, the accumulated value isNaN
for all future invocations. If non-numeric inputs are possible, you are advised to type check and handle accordingly before passing the value to the accumulator function. - For long running accumulations or accumulations of large numbers, care should be taken to prevent overflow.
Examples
var randu = require( '@stdlib/random-base-randu' );
var incrsumprod = require( '@stdlib/stats-incr-sumprod' );
var accumulator;
var v1;
var v2;
var i;
// Initialize an accumulator:
accumulator = incrsumprod();
// For each simulated datum, update the sum-product...
for ( i = 0; i < 100; i++ ) {
v1 = randu() * 100.0;
v2 = randu() * 100.0;
accumulator( v1, v2 );
}
console.log( accumulator() );
See Also
@stdlib/stats-incr/msumprod
: compute a moving sum of products incrementally.@stdlib/stats-incr/prod
: compute a product incrementally.@stdlib/stats-incr/sum
: compute a sum incrementally.
Notice
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.
Community
License
See LICENSE.
Copyright
Copyright © 2016-2024. The Stdlib Authors.