PPT-Approximation Algorithms
Author : tatyana-admore | Published Date : 2018-09-22
When the best just isnt possible Jeff Chastine Approximation Algorithms Some NPComplete problems are too important to ignore Approaches If input small run it anyway
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Approximation Algorithms: Transcript
When the best just isnt possible Jeff Chastine Approximation Algorithms Some NPComplete problems are too important to ignore Approaches If input small run it anyway Consider special cases that may run in polynomial time. Prasad . Raghavendra. . Ning. Chen C. . . Thach. . Nguyen . . . Atri. . Rudra. . . Gyanit. Singh. University of Washington. Roee . Engelberg. Technion. University. . of Edit Distance. Robert Krauthgamer, . Weizmann Institute of Science. SPIRE 2013. TexPoint. fonts used in EMF. . Read the . TexPoint. manual before you delete this box. .: . A. A. A. A. A. A. A. Daniel . Dadush (CWI). Joint . with Santosh . Vempala. Volume Estimation. Given convex body . and factor . , compute . such that . .. . . given by a membership oracle.. . . . Volume Estimation. Lecture 11. Constantinos Daskalakis. Algorithms for Nash . Equilibria. Simplicial. Approximation Algorithms. Support Enumeration Algorithms. Lipton-. Markakis. -Mehta. Algorithms for Symmetric Games. Peter Andras. School of Computing and Mathematics. Keele University. p.andras@keele.ac.uk. Overview. High-dimensional functions and low-dimensional manifolds. Manifold mapping. Function approximation over low-dimensional projections. Problem. Yan Lu. 2011-04-26. Klaus Jansen SODA 2009. CPSC669 Term Project—Paper Reading. 1. Problem Definition. 2. Approximation Scheme. 2.1 Instances with similar capacities. 2.2 General cases . Outline. Julia Chuzhoy. Toyota Technological Institute at Chicago. Routing Problems. Input. : Graph G, source-sink pairs (s. 1. ,t. 1. ),…,(. s. k. ,t. k. ).. Goal. : Route as many pairs as possible; minimize edge congestion.. LA. http://www.uasvision.com/2015/02/25/drones-collecting-cell-phone-data-in-. la. . AdNear. had already been using methods on the ground to collect consumer behavior data by using bikes, cars and trains to profile more than 530 million users in Asia, according to the company.. Problem - a well defined task.. Sort a list of numbers.. Find a particular item in a list.. Find a winning chess move.. Algorithms. A series of precise steps, known to stop eventually, that solve a problem.. EECT 7327 . Fall 2014. Successive Approximation. (SA) ADC. Successive Approximation ADC. – . 2. –. Data Converters Successive Approximation ADC Professor Y. Chiu. EECT 7327 . Fall 2014. Binary search algorithm → N*. Daniel . Dadush (CWI). Joint . with Santosh . Vempala. Volume Estimation. Given convex body . and factor . , compute . such that . .. . . given by a membership oracle.. . . . Volume Estimation. David P. Williamson. Joint work with Matthias Poloczek (Cornell), Georg Schnitger (Frankfurt), and Anke van Zuylen (William & Mary). Greedy algorithms. “Greed. , for lack of a better word, is good. Greed is right. Greed works. 10 Bat Algorithms Xin-She Yang, Nature-Inspired Optimization Algorithms, Elsevier, 2014 The bat algorithm (BA) is a bio-inspired algorithm developed by Xin-She Yang in 2010. 10.1 Echolocation of Bats How do weights affects approximation algorithms?. As usual there are no rules whatsoever.. However I will provide some interesting examples in which weights make a difference. I will try and say for every problem, why weights make a difference..
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