Algorithms and Theory of Computation Handbook, Second Edition: Special Topics and Techniques provides an up-to-date compendium of fundamental computer science topics and techniques. It also illustrates how the topics and techniques come together to deliver efficient solutions to important practical problems.
Along with updating and revising many of the existing chapters, this second edition contains more than 15 new chapters. This edition now covers self-stabilizing and pricing algorithms as well as the theories of privacy and anonymity, databases, computational games, and communication networks. It also discusses computational topology, natural language processing, and grid computing and explores applications in intensity-modulated radiation therapy, voting, DNA research, systems biology, and financial derivatives.
This best-selling handbook continues to help computer professionals and engineers find significant information on various algorithmic topics. The expert contributors clearly define the terminology, present basic results and techniques, and offer a number of current references to the in-depth literature. They also provide a glimpse of the major research issues concerning the relevant topics.
Computational Geometry I
Computational Geometry II
NEW! Computational Topology
Vision and Image Processing Algorithms
Graph Drawing Algorithms
NEW! Algorithmics in Intensity-Modulated Radiation Therapy
VLSI Layout Algorithms
Crypto Topics and Applications I
Crypto Topics and Applications II
NEW! Secure Multiparty Computation
NEW! Voting Schemes
NEW! Auction Protocols
Pseudorandom Sequences and Stream Ciphers
NEW! Theory of Privacy and Anonymity
NEW! Database Theory: Query Languages
NEW! Computational Game Theory: An Introduction
Artificial Intelligence Search Algorithms
NEW! Algorithmic Aspects of Natural Language Processing
Algorithmic Techniques for Regular Networks of Processors
NEW! Self-Stabilizing Algorithms
NEW! Theory of Communication Networks
NEW! Network Algorithmics
NEW! Algorithmic Issues in Grid Computing
NEW! Uncheatable Grid Computing
NEW! DNA Computing: A Research Snapshot
NEW! Computational Systems Biology
NEW! Pricing Algorithms for Financial Derivatives
Mikhail J. Atallah is a distinguished professor of computer science at Purdue University.
Marina Blanton is an assistant professor in the computer science and engineering department at the University of Notre Dame.
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