PPT-Carousel Greedy: A Generalized Greedy Algorithm for Optimiz

Carmine Cerrone Raffaele Cerulli Bruce Golden GO IX Sirmione Italy July 2014 1 Outline Motivation The Minimum Label Spanning Tree MLST problem Experimental justification Introduction to Carousel . . Greedy . Algorithms. CSE 680. Prof. Roger Crawfis. Optimization . Problems. For most optimization problems you . want to find, not just . a. solution, but the . best. . solution.. A . greedy algorithm . CIS 606. Spring 2010. Greedy Algorithms. Similar to dynamic programming.. Used for optimization problems.. Idea. When we have a choice to make, make the one that looks best . right now. . Make . a locally . Yuli. Ye . Joint work with Allan Borodin, University of Toronto. Why do we study greedy algorithms? . don’t. A quote from Jeff Erickson’s algorithms book. . Everyone should tattoo the following sentence on the back of their hands, right under all the rules about logarithms and big-Oh notation. Hamed Pirsiavash, Deva . Ramanan. , . Charless. . Fowlkes. Department of Computer Science, UC Irvine. 2. Estimate number of tracks and their extent. Do not initialize manually. Estimate birth and death of each track. 3101. Prof. Andy Mirzaian. Greedy. Algorithms. STUDY MATERIAL:. . [CLRS]. chapter 16. Lecture . Notes . . 7, 8. 2. TOPICS. Combinatorial Optimization Problems. The Greedy Method. Problems:. Dictionary Selection. for Sparse Representation. Volkan . Cevher. volkan.cevher@epfl.ch. Laboratory. for Information . . and Inference Systems - . LIONS. & . Idiap. Research Institute. . Joint work with . Jingtao Zhu. May 13rd,2016. “Efficient Influence Maximization . in Social Networks. ”. . Written by Chen Wei, Yajun Wang, and Siyu Yang. . Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining. . Greedy . Algorithms. CSE 680. Prof. Roger Crawfis. Optimization . Problems. For most optimization problems you . want to find, not just . a. solution, but the . best. . solution.. A . greedy algorithm . Greedy algorithms, coin changing problem. Haidong. . Xue. Summer 2012, at GSU. What is a greedy algorithm?. Greedy algorithm. : “an algorithm always makes the choice that looks best at the moment”. CSE 421 Greedy Algorithms / Interval Scheduling Yin Tat Lee 1 Interval Scheduling Job starts at and finishes at . Two jobs compatible if they don’t overlap. Goal: find maximum subset of mutually compatible jobs. Introduction to Algorithms Greedy Algorithms CSE 680 Prof. Roger Crawfis Optimization Problems For most optimization problems you want to find, not just a solution, but the best solution. A Fall 20151 Week . 7. CSCI-141. Scott C. Johnson. Say we go to the bank to cash our paycheck. We ask the teller for the fewest bills and coins as possible. Moments later the teller gives us our money and we leave. Minimum spanning tree (MST). Single source shortest path (SSSP), e.g., Dijkstra’s algorithm. We will explore the main properties, with focus on theoretical foundations. MST:. Graph G(V,E): undirected, connected, weighted (arbitrary real weights w() on edges). and SMA*. Remark: SMA* will be covered by Group Homework Credit Group C’s presentation but not in Dr. . Eick’s. lecture in 2022. Best-first search. Idea: use an . evaluation function. . f(n) . for each node.