Theory of computational complexity
Author(s)
Bibliographic Information
Theory of computational complexity
（Wiley-Interscience series in discrete mathematics and optimization）
Wiley, c2000
Available at / 41 libraries
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The University of Electro-Communications Library研
410.12/D93,410.96/D932000100165,2000101162,2000107062,2000107148,2003101956
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Note
Includes bibliographical references (p. 453-473) and index
Description and Table of Contents
Description
A complete treatment of fundamentals and recent advances in complexity theory Complexity theory studies the inherent difficulties of solving algorithmic problems by digital computers. This comprehensive work discusses the major topics in complexity theory, including fundamental topics as well as recent breakthroughs not previously available in book form. Theory of Computational Complexity offers a thorough presentation of the fundamentals of complexity theory, including NP-completeness theory, the polynomial-time hierarchy, relativization, and the application to cryptography. It also examines the theory of nonuniform computational complexity, including the computational models of decision trees and Boolean circuits, and the notion of polynomial-time isomorphism. The theory of probabilistic complexity, which studies complexity issues related to randomized computation as well as interactive proof systems and probabilistically checkable proofs, is also covered.
Extraordinary in both its breadth and depth, this volume: Provides complete proofs of recent breakthroughs in complexity theory Presents results in well-defined form with complete proofs and numerous exercises Includes scores of graphs and figures to clarify difficult material An invaluable resource for researchers as well as an important guide for graduate and advanced undergraduate students, Theory of Computational Complexity is destined to become the standard reference in the field.
Table of Contents
UNIFORM COMPLEXITY. Models of Computation and Complexity Classes. NP-Completeness. The Polynomial-Time Hierarchy and Polynomial Space. Structure of NP. NONUNIFORM COMPLEXITY. Decision Trees. Circuit Complexity. Polynomial-Time Isomorphism. PROBABILISTIC COMPLEXITY. Probabilistic Machines and Complexity Classes. Complexity of Counting. Interactive Proof Systems. Probabilistically Checkable Proofs and NP-Hard Optimization Problems. Bibliography. Index.
by "Nielsen BookData"
