attention on unweighted and undirected networks here. A complex network is represented by G(V‚E) where V is the vertex set and E is the edge set. Each node v(v∈V) has a label C(v) and N(v) is the set of neighbors of node . The label propagation algorithm (LPA) first initializes every node with a unique label. Then at every step each node updates its current label to the label shared by the maximum number of its neighbors. The formula is as follows [14]: C(v)=arg〖■(max@l)|N^l (v)|〗 (1) Where 〖 N〗^l
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Personal Learning Management University of Phoenix Algorithms and Logic for Computer Programming PRG 211 Professor Lee March 07‚ 2013 Personal Learning Management Being able to develop a management tool that would allow a user or student to review course material would be very beneficial. With a course such as programming that has so much information‚ it is important to be able to recall information in order to properly understand how programming works. I for example‚ do not have any
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FORECASTING Managers are always trying to reduce uncertainty and make better estimates of what will happen in the future; this is the main purpose of forecasting. Some firms use subjective methods‚ seat-of-the pants methods‚ intuition‚ and experience. There are also several quantitative techniques‚ moving averages‚ exponential smoothing‚ trend projections‚ and least squares regression analysis. Eight steps to forecasting: * Determine the use of the forecast—what objective are we trying to
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Computer Operations‚ Solving Problems‚ and Algorithms As we learn more on how to construct and put together a functional computer program‚ there are many things that need to be understood for this to occur. This paper will address this by expounding upon three topics that do just that. With use of pseudo code (the use of nouns and verbs) are words used by programmers to help code or construct a computer program. The first section will identify the six basic computer operations that take place
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Introduction to Algorithms‚ Second Edition Thomas H. Cormen Charles E. Leiserson Ronald L. Rivest Clifford Stein The MIT Press Cambridge ‚ Massachusetts London‚ England McGraw-Hill Book Company Boston Burr Ridge ‚ IL Dubuque ‚ IA Madison ‚ WI New York San Francisco St. Louis Montréal Toronto This book is one of a series of texts written by faculty of the Electrical Engineering and Computer Science Department at the Massachusetts Institute of Technology. It was edited and produced by The MIT Press
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Convex Optimization Convex Optimization Stephen Boyd Department of Electrical Engineering Stanford University Lieven Vandenberghe Electrical Engineering Department University of California‚ Los Angeles cambridge university press Cambridge‚ New York‚ Melbourne‚ Madrid‚ Cape Town‚ Singapore‚ S˜o Paolo‚ Delhi a Cambridge University Press The Edinburgh Building‚ Cambridge‚ CB2 8RU‚ UK Published in the United States of America by Cambridge University Press‚ New York http://www.cambridge
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PRG 211 (Algorithms & Logic for Computer Programming) Entire Course IF You Want To Purchase A+ Work Then Click The Link Below ‚ Instant Download http://www.hwnerd.com/PRG-211-Algorithms-Logic-for-Computer-Programming-Entire-Cours-15091.htm?categoryId=-1 If You Face Any Problem E- Mail Us At Contact.Hwnerd@Gmail.Com Week 1 Week 1 DQ 1 What is procedural or algorithmic programming? What is object-oriented programming? What is the role of code reuse in object-oriented programming
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Lab Report for Computer Assignment #2 GPS Algorithm Introduction In order to guide each object correctly on the earth‚ the GPS satellites need to locate them very accurately. The goal of the assignment is to use some optimization methods to locate an object with given pseudo-range data. The signals which are sent from satellites to the target are not accurate because the systematic errors caused by inaccurate receiver clock and some other random noise. The un-accurate range is known as pseudo-range
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Table of contents Chapter No. 1. 2. 3. 4. Topics Introduction 1.1 Origin of Ant Colony Optimization 1.2 Towards Artificial Ants 1.3 ACO Metahueristic 1.4 Applying ACO to TSP 1.4.1 Detailed implementation of TSP with ACO 1.5 Ant System and Successors 1.5.1 Elitist Ant System 1.5.2 Rank Based Ant System 1.5.3 Max-Min Ant System 1.5.3 Ant Colony System Literature survey Further scope References 1 Page No. 4 5-7 7-9 9-10 10-11 11-14 14 14-15 15-16 16-18 18-19
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papers studied 3 3.1. Minutiae recognition system based on genetic algorithms 3 3.2. Fingerprint matching algorithms for integrated circuit cards 4 3.3. Algorithm based on tree comparisons using ratio of relational distances. 5 3. Comparative account of the papers studied 6 4. Conclusion 6 5. References 7 A SURVEY ON FINGERPRINT VERIFICATION ALGORITHMS Ms. Tasleem Fathima J ABSTRACT Fingerprints are the most widely used and
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