Computability, Complexity, and Languages: Fundamentals of Theoretical Computer Science by Martin Davis, Elaine J. Weyuker

Product Details

Synopsis

This book is a rigorous but readable introduction to some of the central topics in theoretical computer science. The main subjects are computability theory, formal languages, logic and automated deduction, computational complexity (including NP-completeness), and programming language semantics.

Annotation

Audience: Junior, senior, and graduate level students in Computability, Complexity, and Languages or Introduction to Theoretical Computer Science courses.

Booknews

A rigorous but readable introduction to some of the central topics in theoretical computer science, including computability theory, formal languages, logic and automated deduction, computational complexity including NP-completeness, and programming language semantics. This second edition features more than triple the exercises of the previous edition and a new discussion of computability theory; a section on the denotational and operational semantics of recursion equations has been added. Annotation c. Book News, Inc., Portland, OR (booknews.com)

Biography

Born in New York City in 1928, Martin Davis was a student of Emil L. Post at City College and his doctorate at Princeton in 1950 was under the supervision of Alonzo Church. Davis's book Computability and Unsolvability (1958) has been called "one of the few real classics in computer science." He is best known for his pioneering work in automated deduction and for his contributions to the solution of Hilbert's tenth problem. For this latter work he was awarded the Chauvenet and Lester R. Ford Prizes by the Mathematical Association of America and the Leroy P. Steele Prize by the American Mathematical Society. In 1983 he was a Guggenheim Foundation Fellow and in 2005 he received the Herbrand Prize from the Conference on Automated Deduction. His books have been translated into a number of languages including Russian and Japanese. Davis has been on the faculty of the Courant Institute of Mathematical Sciences of New York University since 1965, was one of the charter members of the Computer Science Department founded in 1969, and is now Professor Emeritus. He is currently a Visiting Scholar at the University of California, Berkeley.

Ron Sigal is an independently employed software developer who has held positions at Yale University, Lafayette College, Hofstra University, and the University of Catania in Italy. He has a PhD in computer science and has published in the areas of mathematical logic, robotics, and programming languages.

Elaine Weyuker is a researcher at AT&T Labs who specializes in empirical software engineering and testing research. She is a member of the National Academy of Engineering, an IEEE Fellow, an ACM Fellow, and an AT&T Fellow. She is the co-chair of theACM Committee on Women in Computing (ACM-W) and a member of the Coalition to Diversify Computing's steering committee. She was the 2004 recipient of the Harlan D. Mills Award, the Rutgers University 50th Anniversary Outstanding Alumni Award, and the AT&T Chairman's Diversity Award. Before moving to AT&T, she was a computer science professor at the Courant Institute of Mathematical Sciences of NYU.