Handbook of Applied Algorithms

Discover the benefits of applying algorithms to solve scientific,engineering, and practical problems Providing a combination of theory, algorithms, and simulations,Handbook of Applied Algorithms presents an all-encompassingtreatment of applying algorithms and discrete mathematics topractical problems in "hot" application areas, such ascomputational biology, computational chemistry, wireless networks,and computer vision. In eighteen self-contained chapters, this timely bookexplores: * Localized algorithms that can be used in topology control forwireless ad-hoc or sensor networks * Bioinformatics algorithms for analyzing data * Clustering algorithms and identification of association rules indata mining * Applications of combinatorial algorithms and graph theory inchemistry and molecular biology * Optimizing the frequency planning of a GSM network usingevolutionary algorithms * Algorithmic solutions and advances achieved through gametheory Complete with exercises for readers to measure their comprehensionof the material presented, Handbook of Applied Algorithms is amuch-needed resource for researchers, practitioners, and studentswithin computer science, life science, and engineering. Amiya Nayak, PhD, has over seventeen years of industrial experienceand is Full Professor at the School of Information Technology andEngineering at the University of Ottawa, Canada. He is on theeditorial board of several journals. Dr. Nayak's research interestsare in the areas of fault tolerance, distributedsystems/algorithms, and mobile ad-hoc networks. Ivan StojmenoviC?,PhD, is Professor at the University of Ottawa, Canada(www.site.uottawa.ca/~ivan), and Chair Professor of AppliedComputing at the University of Birmingham, United Kingdom. Dr.Stojmenovic? received the Royal Society Wolfson Research MeritAward. His current research interests are mostly in the design andanalysis of algorithms for wireless ad-hoc and sensor networks.