PPT-Dynamic and Online Algorithms:

Anupam Gupta Carnegie Mellon University Based on joint works with Albert Gu Guru Guruganesh Ravishankar Krishnaswamy Amit Kumar Debmalya Panigrahi Cliff Stein and David Wajc Dynamic . Haidong. . Xue. Part One: Knowledge in Textbook. Motivation, Models, Concepts, Algorithms. Part Two: Recent Work. Use the Mobile Agent and Include I/O. Duplex Loading Balancing Strategy. Stability Analysis Based. . Dynamic Programming. CSE 680. Prof. Roger Crawfis. Fibonacci Numbers. . Computing the n. th. Fibonacci number recursively:. F(n) = F(n-1) + F(n-2). F(0) = 0. F(1) = 1. Top-down approach. . F. Tensor Contractions. David . Ozog. *, Jeff R. Hammond. †. , James . Dinan. †. , . Pavan. . Balaji. †. , Sameer . Shende. *, Allen . Malony. * . *University of Oregon . †. Argonne National Laboratory. in Dynamic Graphs. Viswanath. . Gunturi. (4192285). Bala. . Subrahmanyam. . Kambala. (4451379) . Application Domain. Transportation Networks:. Sample Dataset. Sample dataset showing the dynamic nature . Amrinder Arora. Permalink: http://standardwisdom.com/softwarejournal/presentations/. Summary. Online algorithms show up in . many. practical problems.. Even if you are considering an offline problem, consider what would be the online version of that problem.. CS468AlithiBiifti CS i n f Dynamic Programming Part II Copyright Anne Reynolds. What is Online Dating?. Online Dating . is, “a . dating system which allows individuals, couples and groups to make contact and communicate with each other over the Internet, usually with the objective of developing a personal, romantic, or sexual . Lei Shi, Sibai Sun, . Yuan Xuan. , Yue Su, . Hanghang . Tong, Shuai Ma, Yang . Chen. Influence Graph. Initial. Tweet. Re-tweeting Graph. Re-tweets. Citing papers. Source. Paper. Paper Citation Graph. Excel . Perspective. Dynamic . Programming From . An Excel . Perspective. Dynamic Programming. From An Excel Perspective. Ranette Halverson, Richard . Simpson. Catherine . Stringfellow. Department of Computer Science. CIS, Fordham Univ.. Instructor: X. Zhang. Rod Cutting Problem. A company buys long steel rods (of length n), and cuts them into shorter one to sell. integral length only. cutting is free. rods of diff lengths sold for diff. price, e.g.,. for Set Cover. Anupam Gupta. Carnegie Mellon University. Ravishankar Krishnaswamy (Microsoft India). Amit Kumar (IIT Delhi) and . Debmalya Panigrahi (Duke). online algorithms and competitive analysis. Dynamic and Online Algorithms: Anupam Gupta Carnegie Mellon University Based on joint works with: Albert Gu, Guru Guruganesh, Ravishankar Krishnaswamy, Amit Kumar, Debmalya Panigrahi, Cliff Stein, and David Wajc Debmalya Panigrahi. Online Algorithms with Multiple Advice. Sreenivas Gollapudi, . Google. Amit Kumar, . IIT Delhi. Rong Ge, . Duke University. Keerti Anand, Duke University. MY PARTNERS-IN-CRIME. Online Algorithms with . VINAY ABHISHEK MANCHIRAJU. SCOPE. Apply dynamic . programming to gene finding and other bioinformatics problems. .. Power of DNA Sequence Comparison. A revisit to the Change Problem. The Manhattan Tourist Problem.