Mathematics and Computation
A Theory Revolutionizing Technology and Science
Aims and Scope
An introduction to computational complexity theory, its connections and interactions with mathematics, and its central role in the natural and social sciences, technology, and philosophy
Mathematics and Computation provides a broad, conceptual overview of computational complexity theory—the mathematical study of efficient computation. With important practical applications to computer science and industry, computational complexity theory has evolved into a highly interdisciplinary field, with strong links to most mathematical areas and to a growing number of scientific endeavors.
Avi Wigderson takes a sweeping survey of complexity theory, emphasizing the field’s insights and challenges. He explains the ideas and motivations leading to key models, notions, and results. In particular, he looks at algorithms and complexity, computations and proofs, randomness and interaction, quantum and arithmetic computation, and cryptography and learning, all as parts of a cohesive whole with numerous cross-influences. Wigderson illustrates the immense breadth of the field, its beauty and richness, and its diverse and growing interactions with other areas of mathematics. He ends with a comprehensive look at the theory of computation, its methodology and aspirations, and the unique and fundamental ways in which it has shaped and will further shape science, technology, and society. For further reading, an extensive bibliography is provided for all topics covered.
Useful for undergraduates in mathematics and computer science as well as researchers and teachers in the field, Mathematics and Computation brings conceptual clarity to a central and dynamic scientific discipline.
· Comprehensive coverage of computational complexity theory
· High-level, intuitive exposition
· Historical accounts of the evolution and motivations of central concepts and models
· A resourceful look at the theory’s influence on science, technology, and society
· Extensive bibliography
- 440 pages
- 25 b/w illus.
- PRINCETON UNIVERSITY PRESS
- General/trade;Professional and scholarly;College/higher education;
“This book is a real gem. Avi Wigderson has woven together very big and deep ideas from the field, such as pseudorandomness and hardness of computation, in a way that is accessible to a general scientific audience.”—Toniann Pitassi, University of Toronto
"A beautiful, broad view of theoretical computer science, by a giant in the field. A must-read."—Ryan O'Donnell, Carnegie Mellon University
“This wonderful exposition of modern complexity theory distills complex arguments down to their main insights, and deftly explains the interconnections between entire subfields. This book will have a major impact on the way we teach complexity theory, and the way that graduate students in the field learn it.”—Ankur Moitra, Massachusetts Institute of Technology
“Mathematics and Computation presents a panoramic view of the theory of computation, starting from its origins in the 1930s to modern directions and developments, with an emphasis on the latter. With impressive breadth and depth, this book covers an amazing amount of ground.”—Mark Braverman, Princeton University
“A delightful, lucid, and personal guide that perfectly captures the spirit of the field, and does full justice to both its depth and breadth.”—Leslie Valiant, Harvard University