'Npc problems' presentation slideshows

Where are the hard problems?

Where are the hard problems?. Patrick Prosser with help from Peter Cheeseman Bob Kanefsky Will Taylor APES and many more. Where are the hard problems?. Remember Graph Colouring?. Remember 3Col?. 3 Colour me?. 3 Colour me?. Easy?. 3 Colour me?. 3 Colour me?. Easy?. 3 Colour me?.

622 views • 51 slides

Design and Analysis of Algorithms Approximation algorithms for NP-complete problems

Design and Analysis of Algorithms Approximation algorithms for NP-complete problems. Haidong Xue Summer 2012, at GSU. Approximation algorithms for NPC problems. If a problem is NP-complete, there is very likely no polynomial-time algorithm to find an optimal solution

668 views • 36 slides

Simulated Annealing

442 views • 19 slides

Design and Analysis of Algorithms NP-Completeness

Design and Analysis of Algorithms NP-Completeness. Haidong Xue Summer 2012, at GSU. What is polynomial-time?. Polynomial-time: running time is , where k is a constant. Are they polynomial-time running time? yes yes yes yes. What is polynomial-time?. Are the polynomial-time? No No

213 views • 12 slides

Design and Analysis of Algorithms NP-Completeness

Design and Analysis of Algorithms NP-Completeness. Haidong Xue Summer 2012, at GSU. What is polynomial-time?. Polynomial-time: running time is , where k is a constant. Are they polynomial-time running time? yes yes yes yes. What is polynomial-time?. Are the polynomial-time? No No

247 views • 11 slides

Hamiltonian Cycle and TSP

Hamiltonian Cycle and TSP. Hamiltonian Cycle: given an undirected graph G find a tour which visits each point exactly once Traveling Salesperson Problem given a positive weighted undirected graph G (with triangle inequality = can make shortcuts)

293 views • 6 slides

NP-completeness

123 views • 6 slides