Matrix Chain Ordering Problem: Difference between revisions

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(Created page with "{{DISPLAYTITLE:Matrix Chain Ordering Problem (Matrix Chain Multiplication)}} == Description == Matrix chain multiplication (or Matrix Chain Ordering Problem; MCOP) is an optimization problem. Given a sequence of matrices, the goal is to find the most efficient way to multiply these matrices. == Related Problems == Subproblem: Approximate MCOP, Matrix Chain Scheduling Problem Related: Matrix Chain Scheduling Problem, Approximate MCSP == Parameters...")
 
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== Parameters ==  
== Parameters ==  


<pre>$n$: number of matrices</pre>
$n$: number of matrices


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

Revision as of 12:02, 15 February 2023

Description

Matrix chain multiplication (or Matrix Chain Ordering Problem; MCOP) is an optimization problem. Given a sequence of matrices, the goal is to find the most efficient way to multiply these matrices.

Related Problems

Subproblem: Approximate MCOP, Matrix Chain Scheduling Problem

Related: Matrix Chain Scheduling Problem, Approximate MCSP

Parameters

$n$: number of matrices

Table of Algorithms

Name Year Time Space Approximation Factor Model Reference
Brute Force 1940 O ({4}^n) $O(n)$ Exact Deterministic
Dynamic Programming Algorithm (S. S. Godbole) 1953 $O(n^{3})$ $O(n^{2})$ Exact Deterministic
T. C. Hu ; M. T. Shing 1982 $O(nlogn)$ $O(n)$ Exact Deterministic Time

Time Complexity graph

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Space Complexity graph

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Pareto Decades graph

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References/Citation

https://citeseerx.ist.psu.edu/viewdoc/citations?doi=10.1.1.695.2923