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).