Variance Calculations: Difference between revisions

From Algorithm Wiki
Jump to navigation Jump to search
(Created page with "{{DISPLAYTITLE:Variance Calculations (Variance Calculations)}} == Description == Given a set of n (real/integer) numbers, compute the variance (sample or population). Of interest is streaming algorithms and numerical stability. == Parameters == <pre>n: number of values</pre> == Table of Algorithms == {| class="wikitable sortable" style="text-align:center;" width="100%" ! Name !! Year !! Time !! Space !! Approximation Factor !! Model !! Reference |- | Naïve...")
 
No edit summary
Line 6: Line 6:
== Parameters ==  
== Parameters ==  


<pre>n: number of values</pre>
n: number of values


== Table of Algorithms ==  
== Table of Algorithms ==  

Revision as of 12:02, 15 February 2023

Description

Given a set of n (real/integer) numbers, compute the variance (sample or population). Of interest is streaming algorithms and numerical stability.

Parameters

n: number of values

Table of Algorithms

Name Year Time Space Approximation Factor Model Reference
Naïve algorithm 1940 $O(n)$ $O({1})$ auxiliary Exact Deterministic
Two-pass algorithm 1940 $O(n)$ $O({1})$ auxiliary Exact Deterministic
Welford's Online algorithm 1962 $O(n)$ $O({1})$ auxiliary Exact Deterministic Time
Weighted incremental algorithm 1979 $O(n)$ $O({1})$ auxiliary Exact Deterministic Time
Chan's algorithm Parallel Implementation 1979 $O(log n)$ $O({1})$ per processor Exact Parallel Time

Time Complexity graph

Variance Calculations - Time.png

Space Complexity graph

Variance Calculations - Space.png

Pareto Decades graph

Variance Calculations - Pareto Frontier.png