'Polynomial time complexity' presentation slideshows

The class P

The class P. Zeph Grunschlag. Agenda. Running time Big- O review Time complexity classes The class P Converting RAM programs to TM programs with polynomial loss of efficiency Decision problems encoding I/O problems Factoring numbers Context free languages are in P

967 views • 87 slides

CSE 3813 Introduction to Formal Languages and Automata

CSE 3813 Introduction to Formal Languages and Automata. Chapter 14 An Introduction to Computational Complexity

549 views • 52 slides

Module #7: Algorithmic Complexity

229 views • 22 slides

Theory of Computing

Theory of Computing. Lecture 16 MAS 714 Hartmut Klauck. Problems that are not in P. EXP: class of all L that can be decided by Turing machines that run in time at most exp (p(n)) for some polynomial p We will show later that EXP is not equal to P

286 views • 19 slides

3.3 Complexity of Algorithms

3.3 Complexity of Algorithms. Linear Search Algorithm Determine if 3 is in the following lists A= { 1 4 8 -1 2 } B= { 3 4 8 6 5 } C= { 1 2 4 9 10 11 12 14 19 10 -11 0 } D= { 1 3 2 4 }

331 views • 18 slides

Faming Lu Shandong university of Science and Technology Qingdao, China

Decidability of Minimal Supports of S-invariants and the Computation of their Supported S-invariants of Petri Nets. Faming Lu Shandong university of Science and Technology Qingdao, China. Outline. Basic concepts about Petri nets and S-invariants Review about the computation of S-invariants

305 views • 12 slides

Chapter 3

Chapter 3. 3.3 Complexity of Algorithms Time Complexity Understanding the complexity of Algorithms. Complexity of Algorithm. Computational Complexity (of the Algorithm) Time Complexity: Analysis of the time required. Space Complexity: Analysis of the memory required. Time Complexity.

301 views • 10 slides