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ISBN:1461406811
Author: Steven Homer,Alan L. Selman
ISBN13: 978-1461406815
Title: Computability and Complexity Theory (Texts in Computer Science)
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ePUB size: 1893 kb
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Language: English
Category: Computer Science
Publisher: Springer; 2nd ed. 2011 edition (December 9, 2011)
Pages: 300

Computability and Complexity Theory (Texts in Computer Science) by Steven Homer,Alan L. Selman



Steven Homer Computer Science Department Boston University Boston Massachusetts USA [email protected]

by Steven Homer (Author), Alan L. Selman (Author). ISBN-13: 978-1461406815. The difference between this new introductory graduate textbook in theoretical computer science and other texts is that the authors have chosen to concentrate on computability theory and computational complexity theory. The topics are treated in depth and in full formal detail. Explicit homework assignments are tightly integrated into the exposition of the material.

Steven Homer Alan L. Selman COMPUTABILITYAND COMPLEXITY THEORY With 17 Illustrations яйк) Springer. Steven Homer Department of Computer Science Boston University 111 Cummington Street Boston, MA 02215, USA [email protected] edu Alan L. Selman Department of Computer Science and Engineerini 226 Bell Hall University at Buffalo Buffalo, NY 14260-2000, USA [email protected] Texts in computer science) Includes bibliographical references and index. ISBN 0-387-95055-9 1. Computer science. 2. Computable functions. 3. Computational complexity. I. Selman, Alan L. II. Title.

The book is self-contained, with a preliminary chapter describing key mathematical concepts and notations and subsequent chapters moving from the qualitative aspects of classical computability theory to the quantitative aspects of complexity theory. Dedicated chapters on undecidability, NP-completeness, and relative computability round off the work, which focuses on the limitations of computability and the distinctions between feasible and intractable. Beginning graduates, advanced undergraduates, and professionals involved in theoretical computer science, complexity theory, and computability will find the book an essential and practical learning tool.

Computability and Complexity Theory. Part of the Texts in Computer Science book series (TCS). The theory of computing provides computer science with concepts, models, and formalisms for reasoning about both the resources needed to carry out computa­ tions and the efficiency of the computations that use these resources. lt provides tools to measure the difficulty of combinatorial problems both absolutely and in comparison with other problems. Courses in this subject help students gain an­ alytic skills and enable them to recognize the limits of computation. For these reasons, a course in the theory of computing is usually required in the graduate computer science curriculum.

Author: Alan L. Selman, Steven Homer. Tag: Science/Engineering. The book is self-contained, with a preliminary chapter describing key mathematical concepts and notations.

Read "Computability and Complexity Theory" by Steven Homer with Rakuten Kobo. Subsequent chapters move from the qualitative aspects of classical computability theory to the quantitative aspects of complexity theory. by Steven Homer,Alan L. Selman. Texts in Computer Science.

Computability, Complexity, Logic. Computability, complexity, logic. Computability theory.

The book is self-contained, with a preliminary chapter describing key mathematical concepts and notations

Steven Homer, Alan L. Intended for use in an introductory graduate course in theoretical computer science, this text contains material that should be core knowledge in the theory of computation for all graduates in computer science. It is self-contained and is best suited for a one semester course. The text starts with classical computability theory which forms the basis for complexity theory  . Computability and Complexity Theory (Texts in Computer Science). 0387950559 (ISBN13: 9780387950556).

This revised and extensively expanded edition of Computability and Complexity Theory comprises essential materials that are core knowledge in the theory of computation. The book is self-contained, with a preliminary chapter describing key mathematical concepts and notations.  Subsequent chapters move from the qualitative aspects of classical computability theory to the quantitative aspects of complexity theory. Dedicated chapters on undecidability, NP-completeness, and relative computability focus on the limitations of computability and the distinctions between feasible and intractable.  Substantial new content in this edition includes:

a chapter on nonuniformity studying Boolean circuits, advice classes and the important result of Karp─Lipton.a chapter studying properties of the fundamental probabilistic complexity classesa study of the alternating Turing machine and uniform circuit classes. an introduction of counting classes, proving the famous results of Valiant and Vazirani and of Todaa thorough treatment of the proof that IP is identical to PSPACE

With its accessibility and well-devised organization, this text/reference is an excellent resource and guide for those looking to develop a solid grounding in the theory of computing. Beginning graduates, advanced undergraduates, and professionals involved in theoretical computer science, complexity theory, and computability will find the book an essential and practical learning tool.

 

Topics and features:

Concise, focused  materials cover the most fundamental concepts and results in the field of modern complexity theory, including the theory of NP-completeness, NP-hardness, the polynomial hierarchy, and complete problems for other complexity classes Contains information that otherwise exists only in research literature and presents it in a unified, simplified mannerProvides key mathematical background information, including sections on logic and number theory and algebra Supported by numerous exercises and supplementary problems for reinforcement and self-study purposes

Reviews: 2
Flathan
The book is a fairly mathematical introduction to the theory of computation. We used this text in a graduate course that I took titled "Introduction to the Theory of Computation". Even though I was already very familiar with the material, I found reading this book to be a great refresher and it filled in many gaps that were present in my knowledge of the field.

I would definitely recommend this book. However, I'm not sure if it is totally appropriate for a beginner.
Ricep
I bought this kindle book expecting a superior experience but at least in the iOS app, tons of math symbols and formatting doesn't display correctly and empty boxes are displayed instead of the appropriate symbols, also some typesetting commands appear to be displayed instead of being processed rendering at least section 1 useless. Who know which other sections have the same issue.

Kindle says there is no content table even tough it exists and some of the entries in the content table are missing their link.

And to make me even more upset, you dropped the price $13 a week after I bought the book.

This stuff is not cheap and as a customer I expect it to have quality. I am expecting to receive an update of the book or a reimbursement.