PPT-An Iterative Algorithm

for Trust Management and Adversary Detection for DelayTolerant Networks Authors Erman AYDAY Faramarz Fekri Presented by Mehmet Saglam Department of Computer Science. 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 Management and Adversary Detection. for Delay-Tolerant Networks. Authors:. . Erman. . Ayday. . and . Faramarz. . Fekri. Presented by:. Sameer Alomari (salomari@vt.edu). Outline. INTRODUCTION. MANETs V.S DTNs. Lattice-Theoretic Formulation. Meet-Over-Paths . Solution. Monotonicity/. Distributivity. Jeffrey D. Ullman. Stanford University. 2. Data-Flow Analysis Frameworks. Generalizes and . unifies the . DFA examples from previous . 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. Under. : Prof. Amitabha Mukherjee. By. : Narendra Roy. Roll no. : 11451. Group. : 6. Published by. : . Himanshu Bhatt,. Deepali Semwal. Shourya Roy. Introduction. Supervised machine learning classifications assume both training and test data are sampled from same domain or distribution (. Lecture 5: Software Development Models. Recap. Software development process model. . Waterfall model. . Advantages. . Disadvantages. . Usage. . Prototype model . . Advantages. . Disadvantages. 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. V. Elia, E. Napoli. Department of . Chemical Sciences. Campus of Monte Sant’Angelo. Naples, Italy. “. If we knew what it was we were doing, it would not be called . research, . would . it?”. A. Iterative AS and PA in Energy Efficient MIMO. IEEE ICC 2014 . 1. Is there a promising way? . A. n. I. terative. A. lgorithm. . for. J. oint. A. ntenna. S. election. . and. P. ower. A. daptation. research progress. Last week : finalize dvc3D 1.0. Getting iterative method in dvc3D (in progress). Working on Candidacy plan. Past week. dvc3D 1.0 : . Getting it run inside Blender: can create joints, model object(done). 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. 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, …. 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).