PPT-Amortized Supersampling

Dec 18 2009 Pacifico Yokohama Japan Lei Yang H Diego Nehab M Pedro V Sander H Pitchaya Sitthiamorn V Jason Lawrence V Hugues Hoppe M Outline. 4101/5101. Disjoint. Set Union. Prof. Andy Mirzaian. References:. . [CLRS] chapter 21. Lecture Note 6. 2. Disjoint Set Union. Items are drawn from the finite universe U = {1, 2, …, n} for some fixed n.. 1. Persistent. Data . Structures. (Version . Control. ). v. 0. v. 1. v. 2. v. 3. v. 4. v. 5. v. 6. Ephemeral. query. v. 0. v. 1. v. 2. v. 3. v. 4. v. 5. v. 6. Partial. . persistence. query. . only. and. Amortization. Formulas. Ordinary Annuity Formula. John Smith . recently set up a tax-deferred annuity to save for his retirement. He arranged to have $50 taken out of each of his biweekly checks; it will earn . Between . Priority Queues and Sorting . in . External Memory. Zhewei. Wei. Renmin. University of China . MADALGO, Aarhus University. Ke. . Yi. The Hong Kong University of Science and Technology . Priority Queue. Lecture 21: Amortized Analysis. Dan Grossman. Spring 2010. Amortized . Recall our plain-old stack implemented as an array that doubles its size if it runs out of room. How can we claim . push. is . O. Dec. 18, 2009, . Pacifico. Yokohama, . Japan. Lei Yang . H. , Diego . Nehab. . M. , Pedro V. Sander . H. , . Pitchaya. . Sitthi-amorn. . V. , Jason Lawrence . V. ,. Hugues. Hoppe . M. Outline. Assets. IAS 38. 2015. 1. Two Main Characteristics. :. Characteristics. Lack of physical existence.. They are not financial instruments.. Normally classified as long-term asset.. Common types of intangibles:. Alessandro Dal Corso. 1,2. , Marco Salvi. 1. , Craig Kolb. 1. , . Jeppe Revall Frisvad. 2. , Aaron Lefohn. 1. , David Luebke. 1. 1. NVIDIA, . 2. Technical . University of . Denmark. Comparison with previous work. Formulas. Ordinary Annuity Formula. John Smith . recently set up a tax-deferred annuity to save for his retirement. He arranged to have $50 taken out of each of his biweekly checks; it will earn . annual interest. He just had his thirtieth birthday, and his ordinary annuity comes to term when he is sixty-five. Find the following: . and. Uri . Zwick. February 2010. Lecture 2. Amortized Analysis. “amortized analysis. finds the average running time per operation over a . worst-case. . sequence. of operations.”. A ferry tale. 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 Instructor: Lilian de Greef Quarter: Summer 2017 CSE 373: Data Structures and Algorithms Lecture 6: Finishing Amortized Analysis; Dictionaries ADT; Introduction to Hash Tables Today: Finish up Amortized Analysis 1. Data Compression:. A survey. Madhu. Sudan. Harvard. Basic problem. Given: . Want . and . . s.t.. Basic correctness: . Prefix-free correctness: . not a prefix of . . (Ensures can compress arbitrarily long sequences of .