by Wassim Jaziri
Publisher: InTech 2008
Number of pages: 278
Tabu search is a mathematical optimization method, belonging to the class of local search techniques. The goal of this book is to report original researches on algorithms and applications of Tabu Search to real-world problems as well as recent improvements and extensions on its concepts and algorithms.
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by Wolfgang Merkle - ESSLLI
The first part of the course gives an introduction to randomized algorithms and to standard techniques for their derandomization. The second part presents applications of the probabilistic method to the construction of logical models.
by Marko Petkovsek, Herbert S. Wilf, Doron Zeilberger - AK Peters, Ltd.
The book shows how some computer algorithms can simplify complex summations and if there is no such simplification they will prove this to be the case. The authors present the underlying mathematical theory, and the principle theorems and proofs.
by Jeff Erickson - University of Illinois at Urbana-Champaign
These are lecture notes, homework questions, and exam questions from algorithms courses the author taught at the University of Illinois. It is assumed that the reader has mastered the material covered in the first 2 years of a typical CS curriculum.
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This thesis presents efficient algorithms for parallel sorting and remote data update. The sorting algorithms approach the problem by concentrating first on efficient but incorrect algorithms followed by a cleanup phase that completes the sort.