Matrix Chain Ordering Problem: Difference between revisions
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[[File:Matrix Chain Multiplication - Matrix Chain Ordering Problem - Time.png|1000px]] | [[File:Matrix Chain Multiplication - Matrix Chain Ordering Problem - Time.png|1000px]] | ||
== References/Citation == | == References/Citation == | ||
https://citeseerx.ist.psu.edu/viewdoc/citations?doi=10.1.1.695.2923 | https://citeseerx.ist.psu.edu/viewdoc/citations?doi=10.1.1.695.2923 | ||
Latest revision as of 09:04, 28 April 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
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 | Space |
| T. C. Hu ; M. T. Shing | 1982 | $O(n \log n)$ | $O(n)$ | Exact | Deterministic | Time |
Time Complexity Graph
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References/Citation
https://citeseerx.ist.psu.edu/viewdoc/citations?doi=10.1.1.695.2923