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Computational Complexity Theory
  • Language: en
  • Pages: 140

Computational Complexity Theory

Computational complexity theory is the study of the quantitative laws that govern computing. This book contains the proceedings of the AMS Short Course on Computational Complexity Theory, held at the Joint Mathematics Meetings in Atlanta in January 1988.

Complexity Theory Retrospective
  • Language: en
  • Pages: 242

Complexity Theory Retrospective

In 1965 Juris Hartmanis and Richard E. Stearns published a paper "On the Computational Complexity of Algorithms". The field of complexity theory takes its name from this seminal paper and many of the major concepts and issues of complexity theory were introduced by Hartmanis in subsequent work. In honor of the contribution of Juris Hartmanis to the field of complexity theory, a special session of invited talks by Richard E. Stearns, Allan Borodin and Paul Young was held at the third annual meeting of the Structure in Complexity conference, and the first three chapters of this book are the final versions of these talks. They recall intellectual and professional trends in Hartmanis' contributions. All but one of the remainder of the chapters in this volume originated as a presentation at one of the recent meetings of the Structure in Complexity Theory Conference and appeared in preliminary form in the conference proceedings. In all, these expositions form an excellent description of much of contemporary complexity theory.

Logic and Computational Complexity
  • Language: en
  • Pages: 534

Logic and Computational Complexity

This book contains revised versions of papers invited for presentation at the International Workshop on Logic and Computational Complexity, LCC '94, held in Indianapolis, IN in October 1994. The synergy between logic and computational complexity has gained importance and vigor in recent years, cutting across many areas. The 25 revised full papers in this book contributed by internationally outstanding researchers document the state-of-the-art in this interdisciplinary field of growing interest; they are presented in sections on foundational issues, applicative and proof-theoretic complexity, complexity of proofs, computational complexity of functionals, complexity and model theory, and finite model theory.

Descriptive Complexity
  • Language: en
  • Pages: 275

Descriptive Complexity

By virtue of the close relationship between logic and relational databases, it turns out that complexity has important applications to databases such as analyzing the parallel time needed to compute a query, and the analysis of nondeterministic classes. This book is a relatively self-contained introduction to the subject, which includes the necessary background material, as well as numerous examples and exercises.

Mathematical Foundations of Computer Science 1994
  • Language: en
  • Pages: 644

Mathematical Foundations of Computer Science 1994

This volume constitutes the proceedings of the 19th International Symposium on Mathematical Foundations of Theoretical Computer Science, MFCS '94, held in Kosice, Slovakia in August 1994. MFCS '94 brought together specialists in theoretical fields of computer science from various countries in order to stimulate mathematical research in theoretical computer science. Besides 12 papers based on invited talks by renowned experts, the book contains 42 research contributions selected from a total of 112 submissions. All areas of theoretical computer science are presented, some from a particular mathematical point of view.

Foundations of Software Technology and Theoretical Computer Science
  • Language: en
  • Pages: 405

Foundations of Software Technology and Theoretical Computer Science

  • Type: Book
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  • Published: 2004-01-24
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  • Publisher: Springer

This book constitutes the refereed proceedings of the 18th Conference on Foundations of Software Technology and Theoretical Computer Science, FSTTCS'98, held in Chennai, India, in December 1998. The 28 revised full papers presented were carefully selected from a total of 93 submissions; also included are six invited contributions. The papers deal with theoretical topics ranging from discrete mathematics and algorithmic aspects to software engineering, program semantics and mathematical logic.

Theory of Computation
  • Language: en
  • Pages: 423

Theory of Computation

This textbook is uniquely written with dual purpose. It cover cores material in the foundations of computing for graduate students in computer science and also provides an introduction to some more advanced topics for those intending further study in the area. This innovative text focuses primarily on computational complexity theory: the classification of computational problems in terms of their inherent complexity. The book contains an invaluable collection of lectures for first-year graduates on the theory of computation. Topics and features include more than 40 lectures for first year graduate students, and a dozen homework sets and exercises.

Mathematical Linguistics
  • Language: en
  • Pages: 300

Mathematical Linguistics

Mathematical Linguistics introduces the mathematical foundations of linguistics to computer scientists, engineers, and mathematicians interested in natural language processing. The book presents linguistics as a cumulative body of knowledge from the ground up: no prior knowledge of linguistics is assumed. As the first textbook of its kind, this book is useful for those in information science and in natural language technologies.

Fundamentals of the Theory of Computation: Principles and Practice
  • Language: en
  • Pages: 355

Fundamentals of the Theory of Computation: Principles and Practice

  • Type: Book
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  • Published: 1998-07-14
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  • Publisher: Elsevier

This innovative textbook presents the key foundational concepts for a one-semester undergraduate course in the theory of computation. It offers the most accessible and motivational course material available for undergraduate computer theory classes. Directed at undergraduates who may have difficulty understanding the relevance of the course to their future careers, the text helps make them more comfortable with the techniques required for the deeper study of computer science. The text motivates students by clarifying complex theory with many examples, exercises and detailed proofs.* This book is shorter and more accessible than the books now being used in core computer theory courses. * Theory of computing is a standard, required course in all computer science departments.

Logic for Programming, Artificial Intelligence, and Reasoning
  • Language: en
  • Pages: 752

Logic for Programming, Artificial Intelligence, and Reasoning

  • Type: Book
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  • Published: 2003-06-30
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  • Publisher: Springer

This volume contains the papers presented at the Eighth International C- ference on Logic for Programming, Arti?cial Intelligence and Reasoning (LPAR 2001), held on December 3-7, 2001, at the University of Havana (Cuba), together with the Second International Workshop on Implementation of Logics. There were 112 submissions, of which 19 belonged to the special subm- sion category of experimental papers, intended to describe implementations or comparisons of systems, or experiments with systems. Each submission was - viewed by at least three program committee members and an electronic program committee meeting was held via the Internet. The high number of submissions caused a large amount of w...