CFG Recognition: Difference between revisions
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== Time Complexity | == Time Complexity Graph == | ||
[[File:CFG Problems - CFG Recognition - Time.png|1000px]] | [[File:CFG Problems - CFG Recognition - Time.png|1000px]] | ||
== Space Complexity | == Space Complexity Graph == | ||
[[File:CFG Problems - CFG Recognition - Space.png|1000px]] | [[File:CFG Problems - CFG Recognition - Space.png|1000px]] | ||
== Pareto | == Pareto Frontier Improvements Graph == | ||
[[File:CFG Problems - CFG Recognition - Pareto Frontier.png|1000px]] | [[File:CFG Problems - CFG Recognition - Pareto Frontier.png|1000px]] |
Revision as of 13:04, 15 February 2023
Description
Given a grammar $G$ and a string $s$, determine if the string $s$ can be derived by the grammar $G$.
Related Problems
Related: CFG Parsing
Parameters
n: length of the given string
Table of Algorithms
Name | Year | Time | Space | Approximation Factor | Model | Reference |
---|---|---|---|---|---|---|
Cocke–Younger–Kasami algorithm | 1968 | G|)$ | $O(n^{2})$ | Exact | Deterministic | Time & Space |
Valiant | 1975 | G|)$ where omega is the exponent for matrix multiplication | $O(n^{2})$? | Exact | Deterministic | Time |
Time Complexity Graph
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Space Complexity Graph
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Pareto Frontier Improvements Graph
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Reductions FROM Problem
Problem | Implication | Year | Citation | Reduction |
---|---|---|---|---|
k-Clique | assume: k-Clique Hypothesis then: there is no $O(N^{\omega-\epsilon}) time algorithm for target for any $\epsilon > {0}$ |
2017 | https://ieeexplore-ieee-org.ezproxy.canberra.edu.au/abstract/document/8104058 | link |
k-Clique | assume: k-Clique Hypothesis then: there is no $O(N^{\{3}-\epsilon}) time combinatorial algorithm for target for any $\epsilon > {0}$ |
2017 | https://ieeexplore-ieee-org.ezproxy.canberra.edu.au/abstract/document/8104058 | link |
References/Citation
https://linkinghub-elsevier-com.ezproxy.canberra.edu.au/retrieve/pii/S0022000075800468