Matrix Chain Ordering Problem: Difference between revisions

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| [[Brute Force (Matrix Chain Ordering Problem Matrix Chain Multiplication)|Brute Force]] || 1940 || O ({4}^n) || $O(n)$ || Exact || Deterministic ||   
| [[Brute Force (Matrix Chain Ordering Problem Matrix Chain Multiplication)|Brute Force]] || 1940 || $O({4}^n)$ || $O(n)$ || Exact || Deterministic ||   
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| [[Dynamic Programming Algorithm (S. S. Godbole) (Matrix Chain Ordering Problem Matrix Chain Multiplication)|Dynamic Programming Algorithm (S. S. Godbole)]] || 1953 || $O(n^{3})$ || $O(n^{2})$ || Exact || Deterministic ||   
| [[Dynamic Programming Algorithm (S. S. Godbole) (Matrix Chain Ordering Problem Matrix Chain Multiplication)|Dynamic Programming Algorithm (S. S. Godbole)]] || 1953 || $O(n^{3})$ || $O(n^{2})$ || Exact || Deterministic ||   
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[[File:Matrix Chain Multiplication - Matrix Chain Ordering Problem - Space.png|1000px]]
[[File:Matrix Chain Multiplication - Matrix Chain Ordering Problem - Space.png|1000px]]


== Pareto Frontier Improvements Graph ==  
== Space-Time Tradeoff Improvements ==  


[[File:Matrix Chain Multiplication - Matrix Chain Ordering Problem - Pareto Frontier.png|1000px]]
[[File:Matrix Chain Multiplication - Matrix Chain Ordering Problem - Pareto Frontier.png|1000px]]

Revision as of 14:34, 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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Space-Time Tradeoff Improvements

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References/Citation

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