Sequential and Parallel Algorithms and Data Structures - Sanders, Peter

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Résumé :
This textbook is a concise introduction to the basic toolbox of structures that allow efficient organization and retrieval of data, key algorithms for problems on graphs, and generic techniques for modeling, understanding, and solving algorithmic problems. The authors aim for a balance between simplicity and efficiency, between theory and practice, and between classical results and the forefront of research. Individual chapters cover arrays and linked lists, hash tables and associative arrays, sorting and selection, priority queues, sorted sequences, graph representation, graph traversal, shortest paths, minimum spanning trees, optimization, collective communication and computation, and load balancing. The authors also discuss important issues such as algorithm engineering, memory hierarchies, algorithm libraries, and certifying algorithms. Moving beyond the sequential algorithms and data structures of the earlier related title, this book takes into account the paradigm shift towards the parallel processing required to solve modern performance-critical applications and how this impacts on the teaching of algorithms. The book is suitable for undergraduate and graduate students and professionals familiar with programming and basic mathematical language. Most chapters have the same basic structure: the authors discuss a problem as it occurs in a real-life situation, they illustrate the most important applications, and then they introduce simple solutions as informally as possible and as formally as necessary so the reader really understands the issues at hand. As they move to more advanced and optional issues, their approach gradually leads to a more mathematical treatment, including theorems and proofs. The book includes many examples, pictures, informal explanations, and exercises, and the implementation notes introduce clean, efficient implementations in languages such as C++ and Java....

Biographie:
Prof. Kurt Mehlhorn was appointed a Fellow of the ACM (1999) for important contributions in complexity theory and in the design, analysis, and practice of combinatorial and geometric algorithms. A Professor of Computer Science at Saarland University since 1975, and a director of the Max-Planck-Institut f?r Informatik in Saarbr?cken, he has coauthored over 250 refereed papers/articles, in collaboration with 200 researchers. Other awards include the Leibniz Award of the German Research Foundation in 1986 and the Konrad Zuse Medal of the German Society for Informatics in 1995. Prof. Peter Sanders is a Professor of Computer Science at the University of Karlsruhe. A leading researcher in the area of theoretical and experimental algorithm analysis, in particular related to efficient algorithms for parallel processing and communication in networks, his responsibilities include organizing the European Symposium on Algorithms in Karlsruhe in 2008. The authors have considerable experience teaching on the topic of algorithms and working on related industrial projects....

Sommaire:
Prof. Kurt Mehlhorn was appointed a Fellow of the ACM (1999) for important contributions in complexity theory and in the design, analysis, and practice of combinatorial and geometric algorithms. A Professor of Computer Science at Saarland University since 1975, and a director of the Max-Planck-Institut f?r Informatik in Saarbr?cken, he has coauthored over 250 refereed papers/articles, in collaboration with 200 researchers. Other awards include the Leibniz Award of the German Research Foundation in 1986 and the Konrad Zuse Medal of the German Society for Informatics in 1995. Prof. Peter Sanders is a Professor of Computer Science at the University of Karlsruhe. A leading researcher in the area of theoretical and experimental algorithm analysis, in particular related to efficient algorithms for parallel processing and communication in networks, his responsibilities include organizing the European Symposium on Algorithms in Karlsruhe in 2008. The authors have considerable experience teaching on the topic of algorithms and working on related industrial projects....