PPT-Approximation Through Scaling

Algorithms and Networks 20142015 Hans L Bodlaender Johan M M van Rooij Capproximation Optimization problem output has a value that we want to maximize or minimize An algorithm A is an . 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. 1. Tsvi. . Kopelowitz. Knapsack. Given: a set S of n objects with weights and values, and a weight bound:. w. 1. , w. 2. , …, w. n. , B (weights, weight bound).. v. 1. , v. 2. , …, v. n. (values - profit).. Sometimes we can handle NP problems with polynomial time algorithms which are guaranteed to return a solution within some specific bound of the optimal solution. within a constant . c. . of the optimal. National Consultation on. Community Action for Health. October 28 - 29, 2014. Day One Proceedings . Context setting inaugural. Five thematic sessions:. State experiences of Community Based Planning and Monitoring – Bihar, Maharashtra and Tamil Nadu . 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. δ. -Timeliness. Carole . Delporte-Gallet. , . LIAFA . UMR 7089. , Paris VII. Stéphane Devismes. , VERIMAG UMR 5104, Grenoble I. Hugues Fauconnier. , . LIAFA . UMR 7089. , Paris VII. LIAFA. Motivation. Planar Curve Offset. Based on Circle . Approximation. Curve Offset. Planar Curve . Offset Based . on Circle . Approximation – Lee, Kim, . Elber. .. Concept. Circle Approximation. Offset Approximation. Grigory. . Yaroslavtsev. . Penn State + AT&T Labs - Research (intern). Joint work with . Berman (PSU). , . Bhattacharyya (MIT). , . Makarychev. (IBM). , . Raskhodnikova. (PSU). Directed. Spanner Problem. Stochastic . Optimization. Anupam Gupta. Carnegie Mellon University. IPCO Summer . School. Approximation . Algorithms for. Multi-Stage Stochastic Optimization. {vertex cover, . S. teiner tree, MSTs}. When the best just isn’t possible. Jeff Chastine. Approximation Algorithms. Some NP-Complete problems are too important to ignore. Approaches:. If input small, run it anyway. Consider special cases that may run in polynomial time. Project. CRITICAL. Peanuts Cartoon. What are the three types of people depicted in the following cartoon?. What Will Teachers Be Learning?. and. Joe Montecalvo. What Will Teachers Be Learning?. (including Community Ecology). Big fleas have little fleas. on their back to bite them, . and little fleas have lesser fleas. and so . ad infinitum. .. Swift 1733 (?). Photo of fiddler crabs from Gilbert (2000) . C. hamber. Yunhai Cai. FEL & Beam Physics Department. SLAC National Accelerator Laboratory. TWIICE 2014, Synchrotron SOLEIL, 16-17 January 2014. CSR . Impedance of Parallel-Plates. where h is the distance between two plates, .