'Polynomial time approximation scheme' presentation slideshows

A Course on Bioinformatics

1.51k views • 103 slides

Improved results for a memory allocation problem

Improved results for a memory allocation problem. Leah Epstein University of Haifa Israel. Rob van Stee University of Karlsruhe Germany. WADS 2007 WAOA 2007. Background. Allocate memory to parallel processors Goals: Each processor has sufficient memory Not too much memory is wasted.

628 views • 55 slides

Polynomial Time Approximation Scheme (PTAS) for Euclidian Traveling Salesman Problem (TSP)

Polynomial Time Approximation Scheme (PTAS) for Euclidian Traveling Salesman Problem (TSP) Presented By: Dahan Yakir Sepetnitsky Vitali. Introduction The Traveling Salesman (TSP) problem. Given n points For each pair { i , j} of distinct points , a cost c i,j

745 views • 53 slides

BECO 2004

BECO 2004. When can one develop an FPTAS for a sequential decision problem? with apologies to Gerhard Woeginger James B. Orlin MIT working jointly with Mohamed Mostagir. Fully Polynomial Time Approximation Scheme (FPTAS) . INPUT.

434 views • 43 slides

Fair Allocations of Indivisible Goods Part I: Envy-freeness

Fair Allocations of Indivisible Goods Part I: Envy-freeness. Richard Lipton Vangelis Markakis. Elchanan Mossel Amin Saberi. Georgia Tech CWI .

582 views • 35 slides

Vertex cover problem

Vertex cover problem. S ? V such that for every {u,v} ? E u ? S or v ? S (or both). Vertex cover problem. S ? V such that for every {u,v} ? E u ? S or v ? S (or both). Vertex cover problem. S ? V such that for every {u,v} ? E u ? S or v ? S (or both).

439 views • 33 slides

An introduction to Approximation Algorithms Presented By Iman Sadeghi

Approximation Algorithms. An introduction to Approximation Algorithms Presented By Iman Sadeghi. Overview. Introduction Performance ratios The vertex-cover problem Traveling salesman problem Set cover problem. Introduction. There are many important NP-Complete problems

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PCPs and Inapproximability

PCPs and Inapproximability. Introduction. Why Approximation Algorithms. Problems that we cannot find an optimal solution in a polynomial time Eg: Set Cover, Bin Packing Need to find a near-optimal solution: Heuristic Approximation algorithms: This gives us a guarantee approximation ratio.

364 views • 24 slides

A Polynomial Time Approximation Scheme For Timing Constrained Minimum Cost Layer Assignment

A Polynomial Time Approximation Scheme For Timing Constrained Minimum Cost Layer Assignment. Shiyan Hu *, Zhuo Li**, Charles J. Alpert** *Dept of Electrical and Computer Engineering, Michigan Technological University **IBM Austin Research Lab. Outline. Motivation Problem Formulation

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On the approximability of the link building problem

On the approximability of the link building problem. Author - MartinOlsena,AnastasiosViglasb , ? Speaker - Wayne Yang. Agenda. Introduction Define LINK BUILDING PROBLEM Effect of receiving new links Hardness results the complexity of LINK BUILDING

325 views • 12 slides