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From a review of the first edition:
‘This book is a veritable tour de force. Harel writes with uncommon verve, clarity and imagination.'
‘Through the use of tantalizing questions and aptly chosen and often amusing examples, the author transmits to the reader the excitement and intellectual satisfaction of computer science research. Without the use of formal mathematics and without any sacrifice of intellectual integrity, he conveys to the general reader the profound principles on which computer science is founded and which hitherto were only accessible in abstruse and esoteric textbooks and papers.'
‘This is scientific writing at its best.'
Dr Stan Scott, Queen's University Belfast. The Times Higher Education Supplement.
This book tells the story of the concepts, ideas, methods and results fundamental to computer science, in a form independent of the details of specific computers, languages and formalisms. It concerns the true 'spirit' of computers; with the 'recipes' that make them tick - their algorithms.
New to this edition
David Harel is Professor and Dean of the Faculty of Mathematics and Computer Science at the Weizmann Institute of Science. He is renowned for outstanding research in many areas of the field, and has recently been awarded the Israel Prize in Computer Science.
Yishai Feldman is on the faculty of the Efi Arazi School of Computer Science at the Interdisciplinary Centre, Herzliya. He specializes in the use of atificial-intelligence techniques in software engineering and its real-world applications.
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Most Helpful Customer Reviews
6 of 7 people found the following review helpful:
5.0 out of 5 stars
'Theoretical Computer Science at 10,000 feet',
By Optimistix (New York City) - See all my reviews
This review is from: Algorithmics: The Spirit of Computing (Paperback)
As the author says, the members of the research community of ComputerScience have done their discipline a disservice by not making any special efforts to write accessible accounts of the field, as a result of which the 'layman' still has little idea of what goes on 'under the hood', so to say. He has therefore undertaken the challenging task of presenting the basic David Harel is a big name in Theoretical Computer Science, one of the This book presents all the basic fundamental ideas of the theory of computation, It also shows you how certain problems cannot be solved cheaply while others The writing is exceptionally good - like a true master of his subject, Even though it's written for the general reader, it is also useful for All in all, this book covers amazing ground and is a great introduction
6 of 9 people found the following review helpful:
3.0 out of 5 stars
Detailed, but heavy going,
By
This review is from: Algorithmics: The Spirit of Computing (Paperback)
It's certainly true that this book goes into a lot of detail about computer science theory. Unfortunately, it is almost all theory, often with little attention paid to the relevance of the topics covered. It can also be rather heavy and hard to follow at times. Overall, I'd say it would be of interest to those studying computer science theory, but perhaps not of much value to those more interested in practical applications.
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Most Helpful Customer Reviews on Amazon.com (beta) Amazon.com:
4.2 out of 5 stars (11 customer reviews) 21 of 22 people found the following review helpful:
5.0 out of 5 stars
A great book!,
By Scorn ""No joke movement"" - Published on Amazon.com
This review is from: Algorithmics: The Spirit of Computing (Paperback)
This book is the most amazing book on algorithms I've read. The concepts are so well explained that moving to "An introduction to Algorithms by Cormen, Rivest" will be very easy. I come from a non-computer science background. When I started my coursework in Computer Science I was intimidated with Cormen - (although that IS THE MOST AUTHORITATIVE and a complete text!) until I found Harel. Harel covers ALL the key aspects of algorithms and quite a bit of Data Structs too. He explains all the concepts in a non-mathematical, yet intellectually stimulating manner.One can literally read through the book in single day and gain insight into the most difficult topics like, unsolvable problems, hard problems, NP and NP complete problems. On a side note - I pity those reviewers who returned the masterpiece and took objection to Bible quotes. Please grow up and look at what the book has to offer instead of taking objection to such insignificant embellishments 14 of 14 people found the following review helpful:
5.0 out of 5 stars
'Theoretical Computer Science at 10,000 feet',
By Optimistix - Published on Amazon.com
This review is from: Algorithmics: The Spirit of Computing (Paperback)
As the author says, the members of the research community of ComputerScience have done their discipline a disservice by not making any special efforts to write accessible accounts of the field, as a result of which the 'layman' still has little idea of what goes on 'under the hood', so to say. He has therefore undertaken the challenging task of presenting the basic David Harel is a big name in Theoretical Computer Science, one of the This book presents all the basic fundamental ideas of the theory of computation, It also shows you how certain problems cannot be solved cheaply while others The writing is exceptionally good - like a true master of his subject, Even though it's written for the general reader, it is also useful for All in all, this book covers amazing ground and is a great introduction 12 of 12 people found the following review helpful:
5.0 out of 5 stars
An easy-to-read, for-all-readers algorithms book,
By A Customer - Published on Amazon.com
This review is from: Algorithmics: The Spirit of Computing (Paperback)
This is a truly magnificent book. It comprehensively covers most of the topics in the analysis and design of alogorithms with no mathematical burden to hamper you from getting through this subjet. Later on, you will most probably need a more intensive and mathmetical-analysis oriented book but be sure this second book will be far more easy to go through after you have have finished the "Algorithmics" book. Enjoy it.
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