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Costas Busch - LSU1 Time Complexity. Costas Busch - LSU2 Consider a deterministic Turing Machine which decides a language.

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Presentation on theme: "Costas Busch - LSU1 Time Complexity. Costas Busch - LSU2 Consider a deterministic Turing Machine which decides a language."— Presentation transcript:

1 Costas Busch - LSU1 Time Complexity

2 Costas Busch - LSU2 Consider a deterministic Turing Machine which decides a language

3 Costas Busch - LSU3 For any string the computation of terminates in a finite amount of transitions Accept or Reject Initial state

4 Costas Busch - LSU4 Accept or Reject Decision Time = #transitions Initial state

5 Costas Busch - LSU5 Consider now all strings of length = maximum time required to decide any string of length

6 Costas Busch - LSU6 Max time to accept a string of length STRING LENGTH TIME

7 Costas Busch - LSU7 Time Complexity Class: All Languages decidable by a deterministic Turing Machine in time

8 Costas Busch - LSU8 Example: This can be decided in time

9 Costas Busch - LSU9 Other example problems in the same class

10 Costas Busch - LSU10 Examples in class:

11 Costas Busch - LSU11 Examples in class: CYK algorithm Matrix multiplication

12 Costas Busch - LSU12 Polynomial time algorithms: Represents tractable algorithms: for small we can decide the result fast constant

13 Costas Busch - LSU13 It can be shown:

14 Costas Busch - LSU14 The Time Complexity Class “tractable” problems polynomial time algorithms Represents:

15 Costas Busch - LSU15 CYK-algorithm Class Matrix multiplication

16 Costas Busch - LSU16 Exponential time algorithms: Represent intractable algorithms: Some problem instances may take centuries to solve

17 Costas Busch - LSU17 Example: the Hamiltonian Path Problem Question: is there a Hamiltonian path from s to t? s t

18 Costas Busch - LSU18 s t YES!

19 Costas Busch - LSU19 Exponential time Intractable problem A solution: search exhaustively all paths L = { : there is a Hamiltonian path in G from s to t}

20 Costas Busch - LSU20 The clique problem Does there exist a clique of size 5?

21 Costas Busch - LSU21 The clique problem Does there exist a clique of size 5?

22 Costas Busch - LSU22 Example: The Satisfiability Problem Boolean expressions in Conjunctive Normal Form: Variables Question: is the expression satisfiable? clauses

23 Costas Busch - LSU23 Satisfiable: Example:

24 Costas Busch - LSU24 Not satisfiable Example:

25 Costas Busch - LSU25 Algorithm: search exhaustively all the possible binary values of the variables exponential

26 Costas Busch - LSU26 Non-Determinism Language class: A Non-Deterministic Turing Machine decides each string of length in time

27 Costas Busch - LSU27 … … … … accept reject (deepest leaf) depth All computations of on string

28 Costas Busch - LSU28 Non-Deterministic Polynomial time algorithms:

29 Costas Busch - LSU29 The class Non-Deterministic Polynomial time

30 Costas Busch - LSU30 Example: The satisfiability problem Non-Deterministic algorithm: Guess an assignment of the variables Check if this is a satisfying assignment

31 Costas Busch - LSU31 Time for variables: Total time: Guess an assignment of the variables Check if this is a satisfying assignment

32 Costas Busch - LSU32 The satisfiability problem is a - Problem

33 Costas Busch - LSU33 Observation: Deterministic Polynomial Non-Deterministic Polynomial

34 Costas Busch - LSU34 Open Problem: WE DO NOT KNOW THE ANSWER

35 Costas Busch - LSU35 Example: Does the Satisfiability problem have a polynomial time deterministic algorithm? WE DO NOT KNOW THE ANSWER Open Problem:


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