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Computational complexity is one of the most beautiful fields of modern mathematics, and it is increasingly relevant to other sciences ranging from physics to biology. But this beauty is often buried underneath layers of unnecessary formalism, and exciting recent results like interactive proofs, cryptography, and quantum computing are usually considered too "advanced" to show to the typical student. The aim of this book is to bridge both gaps by explaining the deep ideas of theoretical computer science in a clear and enjoyable fashion, making them accessible to non computer scientists and to computer scientists who finally want to understand what their formalisms are actually telling.
This book gives a lucid and playful explanation of the field, starting with P and NP-completeness. The authors explain why the P vs. NP problem is so fundamental, and why it is so hard to resolve. They then lead the reader through the complexity of mazes and games; optimization in theory and practice; randomized algorithms, interactive proofs, and pseudorandomness; Markov chains and phase transitions; and the outer reaches of quantum computing.
At every turn, they use a minimum of formalism, providing explanations that are both deep and accessible. The book is intended for graduates and undergraduates, scientists from other areas who have long wanted to understand this subject, and experts who want to fall in love with this field all over again.
To request a copy of the Solutions Manual, visit: http://global.oup.com/uk/academic/physics/admin/solutions
- Sales Rank: #108293 in Books
- Published on: 2011-10-09
- Original language: English
- Number of items: 1
- Dimensions: 7.70" h x 2.30" w x 9.80" l, 5.20 pounds
- Binding: Hardcover
- 985 pages
Review
"To put it bluntly: this book rocks! It's 900+ pages of awesome. It somehow manages to combine the fun of a popular book with the intellectual heft of a textbook, so much so that I don't know what to call it (but whatever the genre is, there needs to be more of it!)." -- Scott Aaronson, Massachusetts Institute of Technology
"A creative, insightful, and accessible introduction to the theory of computing, written with a keen eye toward the frontiers of the field and a vivid enthusiasm for the subject matter." -- Jon Kleinberg, Cornell University
"If you want to learn about complexity classes, scaling laws in computation, undecidability, randomized algorithms, how to prepare a dinner with Pommard, Quail and Roquefort, or the new ideas that quantum theory brings to computation, this is the right book. It offers a wonderful tour through many facets of computer science. It is precise and gets into details when necessary, but the main thread is always at hand, and entertaining anecdotes help to keep the pace." -- Marc Mézard, Université de Paris Sud, Orsay
"A treasure trove of ideas, concepts and information on algorithms and complexity theory. Serious material presented in the most delightful manner!" -- Vijay Vazirani, Georgia Instituute of Technology
"A fantastic and unique book - a must-have guide to the theory of computation, for physicists and everyone else." -- Riccardo Zecchina, Politecnico di Torino
"The Nature of Computation (TNoC) is a comprehensive, accessible, and highly enjoyable book that conveys the key intellectual contributions of the theory of computing. The project took off as an effort to present theoretical computer science to physicists, but it is equally suitable for any science graduate who is curious to explore beautiful and deep ideas related to the mathematical structure of problems. ... TNoC provides not just a window through which people from other disciplines can get glimpses of the interesting nuggets from computer science, but also provides an entertaining open house session where a visitor can meet various deep ideas and understand the core arguments behind key results." --Haris Aziz, SIGACT News Book Review Column
"The book is highly recommended for all interested readers: in or out of courses, students undergraduate, researchers in other fields eager to learn the subject, or scholars already in the field who wish to enrich their current understanding. It makes for a great textbook in a conventional theory of computing course, as I can testify from recent personal experience (I used it once; I'll use it again!). With its broad and deep wealth of information, it would be a top contender for one of my "desert island" books. [The Nature of Computation] speaks directly, clearly, convincingly, and entertainingly, but also goes much further: it inspires." --Frederic Green, SIGACT News Book Review Column
About the Author
Cristopher Moore graduated from Northwestern University with honors in 1986, at the age of 18, with a B.A. in Mathematics, Physics, and Integrated Science. He received his Ph.D. in Physics from Cornell University at the age of 23. After a postdoc at the Santa Fe Institute, he joined the faculty of the University of New Mexico, where he holds joint appointments in Computer Science and Physics and Astronomy. He has written over 90 papers, on topics ranging from undecidability in dynamical systems, to quantum computing, to phase transitions in NP-complete problems, to the analysis of social and biological networks.
Stephan Mertens got his Diploma in Physics in 1989, and his Ph.D. in Physics in 1991, both from Georg-August University Göttingen. He holds scholarships from the "Studienstiftung des Deutschen Volkes", Germany's most prestigious organisation sponsoring the academically gifted. After his Ph.D. he worked for three years in the software industry before he joined the faculty of Otto-von-Guericke University Magdeburg as a theoretical physicist. His research focuses on disordered systems in statistical mechanics, average case complexity of algorithms, and parallel computing.
Most helpful customer reviews
15 of 17 people found the following review helpful.
Beautiful encyclopedic book
By Josep Diaz
This is a beautiful encyclopedic book, which covers a large range of topics from Theoretical Computer Science. The style favors intuition and clarity over technical details. Chapters 4 to 8 can be used as a textbook for an undergraduate complexity course. For computer science and mathematics students the book has the great advantage of examples from the physics world... the more advanced material can be easily used for graduate courses or seminars. For example, Chapters 12, 13 and 14 by themselves could be a perfect basic text for an advanced course in probabilistic methods in computer science and discrete mathematics. I hope future readers enjoy the book as much as I did.
(See longer review at Computer Science Reviews 5 (2011) 341.)
10 of 12 people found the following review helpful.
Best theory of computation book ever!
By M. Villagra
There are fantastic books all over theoretical computer science on the same subjects. But this one, I find it simply the best of all of them. Why? Because it explains what really computer science is about, which is computation as the object of study, and it does so in such a friendly manner and accessible to mathematicians, physicists and (of course) computer scientists of all levels. In the preface of the book explicitly says so, the objective of this book is to show why computational complexity is such a beautiful field with beautiful mathematics, without going too much deeper into the technicalities. Even though they omit the gruesome details, I felt that the understanding gained from reading the book was enough to look at the references and go directly to the papers. Thus, at the same time, this book presents a full review of all computational complexity theory. Also, the problems at the end of each chapter are very fun, and they make the reader gain a deeper understanding of the chapter and other subjects that were not covered. The notes section after each problem set are full of anecdotes and historical remarks that makes the reading experience even more wonderful.
9 of 11 people found the following review helpful.
Headmelting
By Dan MacKinlay
This book starts with high-school mathematics and takes you all the way through the amazing architecture of mathematical problems themselves. It's encyclopaedia-length, but light and readable in style all the way through, sprinkled with liberal references to Lewis Carroll, Douglas Hofstadter and various other cult favourites of the literate mathnerd. That is, this exemplifies everything good about mathematical texts. Amazing.
For background, I am a mathematics major, but I had almost no exposure to computational complexity theory before starting this book apart from, say, the awareness that matrix inversion is approximately O(n^3)
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