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This text offers a comprehensive and accessible treatment of the theory of algorithms and complexity - the elegant body of concepts and methods developed by computer scientists over the past 30 years for studying the performance and limitations of computer algorithms. Among topics covered are: reductions and NP-completeness, cryptography and protocols, randomized algorithms, and approximability of optimization problems, circuit complexity, the "structural" aspects of the P=NP question, parallel computation, the polynomial hierarchy, and many others. Several sophisticated and recent results are presented in a rather simple way, while many more are developed in the form of extensive notes, problems, and hints. The book is surprisingly self-contained, in that it develops all necessary mathematical prerequisites from such diverse fields as computability, logic, number theory, combinatorics and probability.
This text investigates the fundamental theoretical limits of computation and the performance characteristics of algorithms. Christos Papadimitriou, a prominent researcher in theoretical computer science, synthesizes decades of development in complexity theory into a structured academic framework. The book utilizes a rigorous mathematical approach to define the boundaries of what computers can efficiently solve, providing a comprehensive overview of the field's evolution.
What You Will Find
Experts and academics widely regard this work as a foundational text for graduate-level computer science curricula. Readers frequently note the high level of mathematical rigor, which requires a solid background in discrete mathematics to fully grasp the presented concepts.
Page Count:
523
Publication Date:
1993-11-30
Publisher:
Pearson
ISBN-10:
0201530821
ISBN-13:
9780201530827
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