Atallah / Blanton Algorithms and Theory of Computation Handbook, Second Edition - 2 Volume Set

2. Auflage 2010
ISBN: 978-1-4398-3233-2
Verlag: Taylor & Francis
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 1944 Seiten

Reihe: Chapman & Hall/CRC Applied Algorithms and Data Structures series

Algorithms and Theory of Computation Handbook, Second Edition 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.
New to the Second Edition
Along with updating and revising many of the existing chapters, this second edition contains more than 20 new chapters. This edition now covers external memory, parameterized, self-stabilizing, and pricing algorithms as well as the theories of algorithmic coding, privacy and anonymity, databases, computational games, and communication networks. It also discusses computational topology, computational number theory, 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.

Zielgruppe

Computer scientists, applied mathematicians, and engineers.

Autoren/Hrsg.

Atallah, Mikhail J.

Blanton, Marina

Fachgebiete

• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Algorithmen & Datenstrukturen
• Mathematik | Informatik Mathematik Mathematik Allgemein Mathematische Logik

Inhaltsverzeichnis

General Concepts and Techniques
Algorithms Design and Analysis Techniques
Searching
Sorting and Order Statistics
Basic Data Structures
Topics in Data Structures
Multidimensional Data Structures for Spatial Applications
Basic Graph Algorithms
Advanced Combinatorial Algorithms
Dynamic Graph Algorithms
NEW! External Memory Algorithms and Data Structures
Average Case Analysis of Algorithms
Randomized Algorithms
Pattern Matching in Strings
Text Data Compression Algorithms
General Pattern Matching
NEW! Computational Number Theory
Algebraic and Numerical Algorithms
Applications of FFT and Structured Matrices
Basic Notions in Computational Complexity
Formal Grammars and Languages
Computability
Complexity Classes
Reducibility and Completeness
Other Complexity Classes and Measures
NEW! Parameterized Algorithms
Computational Learning Theory
NEW! Algorithmic Coding Theory
Parallel Computation: Models and Complexity Issues
Distributed Computing: A Glimmer of a Theory
Linear Programming
Integer Programming
Convex Optimization
Simulated Annealing Techniques
Approximation Algorithms for NP-Hard Optimization Problems
Special Topics and Techniques
Computational Geometry I
Computational Geometry II
NEW! Computational Topology
Robot Algorithms
Vision and Image Processing Algorithms
Graph Drawing Algorithms
NEW! Algorithmics in Intensity-Modulated Radiation Therapy
VLSI Layout Algorithms
Cryptographic Foundations
Encryption Schemes
Cryptanalysis
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
Scheduling Algorithms
NEW! Computational Game Theory: An Introduction
Artificial Intelligence Search Algorithms
NEW! Algorithmic Aspects of Natural Language Processing
Algorithmic Techniques for Regular Networks of Processors
Parallel Algorithms
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

Index

Über Autor(innen)

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.