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Ernst Department of Computer Science and Engineering University of Washington Seattle WA USA yingyibicsuciedu billhowe magda mernst cswashingtonedu ABSTRACT The growing demand for largescale data mining and data anal ysis applications has led both i. 00 57513 2003 IEEE Computer Iterative and Incremental Development A Brief History s agile methods become more popular some view iterative evolutionary and incremental software developmenta cornerstone of these methodsas the m Computations. K-means. Performance of K-Means. Smith Waterman is a non iterative case and of course runs fine. Matrix Multiplication . 64 cores. Square blocks Twister. Row/Col . decomp. Twister. Ourmechanismreleasesaccurateanswersoninterestinginputs.Forexample,weprovethatk-SED(k-means)clus-tercentersarereleasedaccuratelywhenthedataiswell-separated,accordingtothedenitionproposedbyOstrovskyeta (b)(Ex10.7)1 8x:(Cube(x)^Large(x))$:9x(Cube(x)^Large(x))3 Tet(c)!:Cube(c)4 Tet(c)5 8x:(Cube(x)^Large(x))Theargumenthasthetruth-functionalform:1 A!(B!C)2 D$:A3 E!:B4 E5 DThisisnottautologicallyvalid:by fonts used in EMF. . Read the . TexPoint. manual before you delete this box.: . A. A. Sumit. . Gulwani. Microsoft Research, Redmond, USA. sumitg@microsoft.com. The . Fixpoint. Brush. in. The Art of Invariant Generation. Zhiyao. . Duan. , . Jinyu. Han and Bryan . Pardo. EECS Dept., Northwestern Univ.. Interactive Audio Lab, . http://music.cs.northwestern.edu. For presentation in ICASSP 2010, Dallas, Texas, USA.. Multi-pitch Estimation & Tracking Task. N. icole Zelinsky - . University of California, . Merced . - nzelinsky@ucmerced.edu. Introduction and Motivation. Exploratory Factor Analysis. Analytic . tool which helps researchers develop scales, generate theory, and inform structure for a confirmatory factor . of Massive Trajectory Data based on MapReduce. Qiang. Ma, Bin Yang (. Fudan. University). Weining. . Qian. , . Aoying. Zhou (ECNU). Presented By: . Xin. Cao (Aalborg University). Outline. Introduction . draft-choi-cdni-req-intf-00.txt. Taesang. . Choi (choits@etri.re.kr). Jonggyu. Sung (jonggyu.sung@kt.com). Jongmin. Lee (jminlee@sk.com). Ja-Ryeong. . Koo (wjbkoo@lguplus.co.kr). John . Dongho. Shin (eastsky@solbox.com). Computations. K-means. Performance of K-Means. Smith Waterman is a non iterative case and of course runs fine. Matrix Multiplication . 64 cores. Square blocks Twister. Row/Col . decomp. Twister. N. icole Zelinsky - . University of California, . Merced . - nzelinsky@ucmerced.edu. Introduction and Motivation. Exploratory Factor Analysis. Analytic . tool which helps researchers develop scales, generate theory, and inform structure for a confirmatory factor . Goal is to solve the system . Can use direct or iterative methods. Direct Methods. LU Decomposition. QR Factorization. Iterative Methods (what we will use). Jacobi. Gauss-Seidel. Successive Over Relaxation(SOR). Define . Iterative Patterns. …. Iterative Patterns follow a specific . RULE. .. Examples of Iterative Patterns:. 2, 4, 6, 8, 10, …. 2, 4, 8, 16, 32, …. 96, 92, 88, 84, 80, …. 625, 125, 25, 5, …. Iterative Local Searches. Martin . Burtscher. 1. and Hassan Rabeti. 2. 1. Department of Computer Science, Texas State University-San Marcos. 2. Department of Mathematics, Texas State University-San Marcos.