Design and Analysis of Algorithms
by Herbert Edelsbrunner
Publisher: Duke University 2008
Number of pages: 95
The main topics to be covered in this course are: Design Techniques; Searching; Prioritizing; Graph Algorithms; Topological Algorithms; Geometric Algorithms; NP-completeness. The emphasis will be on algorithm design and on algorithm analysis.
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by Silvano Martello, Paolo Toth - John Wiley & Sons
The book on exact and approximate algorithms for a number of important problems in the field of integer linear programming, which the authors refer to as 'knapsack'. Includes knapsack problems such as binary, bounded, unbounded or binary multiple.
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The book is useful for scientists who gather data and seek tools for analyzing and interpreting data. It will be a reference for scientists in a variety of disciplines and can serve as a textbook for a graduate course in exploratory data analysis.
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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.