D. Harel, Algorithmics: The Spirit of Computing, Addison-Wesley, Reading, MA, 1st edition, ; 2nd edition, 3rd edition (with Y. Feldman), Special . D. Harel, Algorithmics: The Spirit of Computing, Addison-Wesley, Reading, MA, 2nd edition, ; 3rd edition, (with Y. Feldman). (1st edn.: Dutch. Algorithmics has 74 ratings and 4 reviews. Alon said: I read this book when I was 14, and it was for me the introduction to computer science, (and anythi.
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That may still be true, but in recent years you will also find many who don’t. Providing a thorough, well-written and thoughtful study of the fundamental theoretical ideas of computing and examining how to design accurate and efficient algorithms, this book is ideal for an introductory course emphasizing theory rather than programming.
Thus, Chapters 1 and 2 and parts of Chapter 3 can be browsed through by such readers.
Algorithmics: The Spirit of Computing
Preview — Algorithmics by Algorithmis Harel. Off appropriate, brief discussions of the research topics that are of current interest to computer scientists are included. Sense Hofstede rated it liked it Jan 03, Moreover, given that a revolution is indeed taking place before our very eyes, many of these topics, and the special ways of thinking that go with them, ought to be available to the enquiring person even if that person is not directly associated with a computer at all.
Just a moment algorithmicw we sign you in to your Goodreads account. Worse still, it is shown that some problems are provably not solvable by computers at all, even with unlimited time! The final chapter has been modified in many places too, e.
Return to Book Page. The book is intended to be read or studied sequentially, not be used as a reference. No trivia or quizzes yet. I wish I had read this when studying for my degree. It is organized so that each chapter depends on the previous ones, but with smooth readability in mind.
However, by and large, there is almost universal agreement on a core of fundamental topics that computer science students should be taught. It would seem that things cannot be explained without first tge, in detail, either a machine or a medium for communicating with one or both.
Algorithmics: The Spirit of Computing by David Harel
Matthew rated it really liked it Dec 16, New to the Second Edition. There are also numerous books about the act of writing programs for the computers in any of a growing number of languages.
This is followed by two chapters on the analysis of algorithms, treating, respectively, their correctness and efficiency mainly time efficiencyincluding techniques for establishing the former and estimating the latter.
Rather than taking this as a criticism of the field, I think that it shows that the topics selected for inclusion in the book are really of fundamental nature, so that no significant changes had to be made.
The present edition contains numerous exercises, as well as solutions to about a third of them. Of course, new technologies and new languages require revisions in scientific emphasis, which are eventually reflected in the scientific literature. Twelve years in Computer Science is almost an eternity In other words, the reader becomes predominantly involved in the principles of a particular computer or the syntactic rules of a particular programming language or both.
What relevance this will have to the fundamental issues of quantum computation discussed in the text remains to be seen. This time around, a significant revision was carried out. It is recommended, however, that even those sections be skimmed, at least to get a superficial idea of their contents. The issues discussed herein are thus probably basic and lasting; maybe the term “classical” is most fitting.
The reader can read these now or come back to them after comouting the book itself. Its objective is to present a readable account of some of the mot important and basic topics of computer science, stressing the fundamental and robust nature of the science in a form that is virtually independent of the details of specific computers, languages, and formalisms.
It thus represents a very general concept, with numerous applications.
The field is hugely consequential: This book grew out of a series of lectures given by the author on “Galei Zahal”, one of Israel’s national radio channels, between October and January Preface written for the Printing. There are discussions on abstract data types, on the non-approximability of certain NP-complete problems, on probabilistically checkable proofs, and, of course, on the brand new AKS polynomial-time algorithm for primality.
This fact is doubly curious in view of the abundance of precisely this kind of literature in most other scientific areas, such as physics, biology, chemistry, and mathematics, not to mention humanities and the arts. Thanks for telling us about the problem. One well-known example is IBM’s Watson machine, which beat the top two human contestants in Jeopardy! Moreover, it can be used as supplementary reading in many kinds of computer-related educational activities, from basic programming courses to advanced graduate or undergraduate degree programs in computer science.
Finally, I would like to add algorihmics one of the most impressive and potentially revolutionary uses of computer science in the last years has been in the life sciences. Alan Mathison Turing b.