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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Second and third editions were published in andrespectively with Yishai Feldman joining the “team” for the 3rd edition. This time around, a significant revision was carried out. Teaching a course based exclusively on it was possible, but would have required that the instructor prepare exercises and add examples and more detail in certain places.
In that respect, Turing’s name is associated with both the Church-Turing thesis and the Turing machine, two of the most fundamental notions discussed in these chapters. Alan Mathison Turing b. In modern terms this work would be considered part of systems biology or bioinformatics, topics that are not discussed in the present book.
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.
These include significant improvements in computerized chess, and great improvements in natural language understanding and translation. Want to Read Currently Reading Read. Wlgorithmicspages. Jake rated it really liked it Aug 25, Chapter th is devoted to cryptography, and although Turing’s work is not mentioned there explicitly, it played a classical and crucial part in the development of the field.
Special printing for the Turing Centennial year, published by Springer for the U. Preface written for the Printing. The next few paragraphs contain very brief discussions about a few of the relevant things that have happened in the last few years thanks to Uri Feige for helping me compile this list, and, of course, to my co-author Yishai Feldman.
I am thus extremely happy that Springer has agreed to publish this new printing of Algorithmics. Open Preview See a Problem? The present edition contains numerous exercises, as well as solutions to about a third of them.
There are several important changes in this hzrel of the book, compared to the first and second tthe, including two brand new chapters, new sections, and more. Well-established academic disciplines have a habit of yielding excellent textbooks, and computer science is no exception. In terms of the basic fundamentals of algorithmics that is, if we exclude the more practical and faster-changing material of Chapters 3, 13, and 14 little in the book has to be changed.
Most of the material in the preliminary Part One should be familiar to people with a background in programming. 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. Towards the end of Chapter 4 there is a discussion of approximating a network coloring.
Paul rated it really liked it Aug 06, However, despite the dizzying speed with which some of the technological innovations become obsolete and are replaced by new ones, the fundamentals of the science of computation, and hence many of the basic concepts that are considered important in thr computer science curriculum, change algorithmixs, if at all. Hanna rated it it was amazing Oct 06, The material covered herein, while not directly aimed at producing better programmers computinv system analysts, can aid people who work with computers by providing an overall picture of some of the most fundamental issues relevant to their work.
The reader may wonder why a more extensive revision of the text was not called for.
That may still be true, but in recent years you will also find many who don’t. One well-known example is IBM’s Watson machine, which beat the top two human contestants in Jeopardy!
However, by and large, there is almost universal agreement on a core of fundamental topics that computer science students should be taught. In addition, there are many tue on subjects peripheral to the technology, such as the social and legal aspects of the revolution, as well as books describing the relevance of computers to a variety of application areas. 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.
Algorithmics: The Spirit of Computing
It’s general abstract introductory matter. This book tells a story. Watson exhibits an impressive ability to “understand” highly ambiguous language and to deal with situations that have long been associated exclusively with human talent.
It is hoped that his book will facilitate communication between the various groups of people who are actively involved in the computer revolution, and between that group, and those who, for the time being, are observers only. The book is intended to be read or studied sequentially, not be used as a reference.
Thus, to a large extent Spiit am but a dwarf standing on the shoulders of a true giant; the true giant of our field. Now that the revision is done, if hard-pressed to give my list of the most significant developments in pure, “classical” siprit i.
Many advanced textbooks do treat the fundamentals, but by their very nature they concentrate on specific topics, and do so at an advanced technical level that is usually unsuitable for the general reader. Parallelism is thus becoming an even more central and crucial topic in computer science, so that it is probably fair to say that resolving the open problems in this area has become a lot more urgent.
Algorithmics: The Spirit of Computing by David Harel
Worse still, it is shown that some problems are provably not solvable by computers at all, even with unlimited time! Twelve years in Computer Science is almost an eternity Return to Book Page. Hopefully, the result of all of this will turn out to be a useful and up-to-date tool linking the text of this expository book with the accepted archival scientific literature.
Of course, new technologies and new languages require revisions in scientific emphasis, which are eventually reflected in the scientific literature.
A thing of beauty: The solved exercises can wlgorithmics be used to supplement the text. I share with others the opinion and belief that computer science will play a role in the science of the 21st century which is poised to be the century of the life sciences similar to the role played by mathematics in the physical sciences of the spigit century.
These chapters also discuss reactive and distributed systems, and cryptography. In revising them, we had to prepare new notes for the large amount of newly added material, of course, but we also had to painstakingly reconsider and thoroughly revise the entire set of existing notes.