FIT1045 Lecture Notes - Lecture 12: Np-Completeness, Lothar Collatz, Halting Problem

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WEEK12 - P Vs NP
Polynomial: a complexity if it can be bounded by O(N^k) where j is a
constant e.g. O(N^3)
Non-Polynomial: a complexity that cannot be bounded by O(N^k) e.g.
O(2^N) and O(N!) or O(N^N)
Intractable Problems
If cannot be solved in polynomial time!
I.e generating all subsets, generating permutations, Tower of Hanoi!
Fibonacci numbers is NOT intractable!
Some algorithms!
Can be solved like sorting, finding minimum!
There are problems that are still unsure if they are intractable or not!
Unable to prove that polynomial algorithm cannot exist!
Decision Problem: if a problem has only a yes or no output
Decidable example: did you have breakfast
Non decidable examples: what did you have for breakfast?
HAMILTONIAN CYCLE:
For a graph is a path(does not have the same vertex twice) that passes
through every vertices exactly once
Decision problem for Hamiltonian cycle:
Does there exist a Hamiltonian cycle in graph G
Vertex Cover
Is a subset of vertices of a graph such that every edge in the graph
has at least one of its endpoints (vertices) in C!
Decision problem:
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Document Summary

Polynomial: a complexity if it can be bounded by o(n^k) where j is a constant e. g. o(n^3) Non-polynomial: a complexity that cannot be bounded by o(n^k) e. g. o(2^n) and o(n!) or o(n^n) I. e generating all subsets, generating permutations, tower of hanoi. Some algorithms: can be solved like sorting, finding minimum. There are problems that are still unsure if they are intractable or not: unable to prove that polynomial algorithm cannot exist. Decision problem: if a problem has only a yes or no output. For a graph is a path(does not have the same vertex twice) that passes through every vertices exactly once. Does there exist a hamiltonian cycle in graph g. Is a subset of vertices of a graph such that every edge in the graph has at least one of its endpoints (vertices) in c. Is there a vertex cover of k or less vertices of g. Subgraph where there is an edge between every two vertices.

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