The third edition of this best-selling book has been thoroughly updated and revised to include new developments in the theory of computation. And covers the five main models of computation. Those have developed over the past decade: sequential machines, concurrent machines, distributed machines, parallel machines, and quantum computation. It continues to present the basic concepts of computability theory and complexity analysis from an algorithmic point of view. While still accessible to undergraduate students with limited mathematical backgrounds. It will also be of interest to graduate students working in computer science, computer engineering, mathematics. OR any field that uses computing as an integral part of its discipline.
Overview About “Introduction to the Theory of Computation 3rd Edition”
This third edition of Introduction to the Theory of Computation. Which has been known for its clarity and careful organization since it was first published, continues that tradition with updates reflecting recent advances in theoretical computer science. In particular, new chapters on probabilistic computation and pseudorandomness have been added. The book focuses on precise formulations and clear explanations; extensive proofs are included throughout. It also covers a wide range of topics—from automata theory, formal languages, and regular expressions to computability theory, complexity theory, languages for expressing algorithms precisely (e.g., functional programming), cryptography, parallel computation, and self- reference.
Reviews About “Introduction to the Theory of Computation 3rd Edition”
This book is an introduction to computer science and programming. It teaches algorithm design, languages, computability, and complexity theory. The first thing that you need to know about any book from which you are trying to learn how to program is whether or not it is well written. This book has a lot of examples that help explain things quite well. Each section builds upon previous sections so there is definitely a progression in each chapter. The last part of every chapter contains exercises for review. And practice along with answers at the end of each chapter…the solutions are very detailed.
About “Michael Sipser” the Author
Mr.Michael Sipser is a mathematician, educator, and physicist who graduated from Harvard University in 1977 with an A.B in Mathematics. He has also obtained his Master’s degree from Cambridge University and his Ph.D. from Stanford University in Mathematics under the supervision of Shining-Shen Chern. He was a great Chinese Mathematician as well as a Professor at Princeton University.
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