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Algorithms and Theory of Computation Handbook, Second Edition, Volume 1
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Table of Contents

Algorithms Design and Analysis Techniques

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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

About the Author

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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