Read "Algorithms Unlocked" by Thomas H. Cormen available from Rakuten Kobo . Sign up today and get $5 off your first download. For anyone who has ever. "This book offers an engagingly written guide to the basics of computer algorithms. In Algorithms Unlocked, Thomas Cormen- coauthor of the leading college. [PDF] Algorithms Unlocked (The MIT Press) For anyone who has ever wondered how computers solve problems, an engagingly written guide.

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Editorial Reviews. Review. Algorithms are at the center of computer science. This is a unique book in its attempt to open the field of algorithms to a wider. Cormen, Thomas H. Algorithms Unlocked / Thomas H. Cormen. p. cm. Includes bibliographical references and index. ISBN (pbk.: alk. paper) . Algorithms Unlocked book. Read 27 reviews ebook, pages. Published May please sign up. Be the first to ask a question about Algorithms Unlocked.

Abstract with links to resource Abstract: For anyone who has ever wondered how computers solve problems, an engagingly written guide for nonexperts to the basics of computer algorithms. Read more Reviews Editorial reviews Publisher Synopsis "Algorithms are at the center of computer science. This is a unique book in its attempt to open the field of algorithms to a wider audience. It provides an easy-to-read introduction to an abstract topic, without sacrificing depth. This is an important contribution and there is nobody more qualified than Thomas Cormen to bridge the knowledge gap between algorithms experts and the general public. The enterprising reader with some exposure to elementary computer programming will discover insights into the key algorithmic techniques that underlie efficient computation. For computer science students and practitioners, it is a great review of key algorithms that every computer scientist must understand.

The last part of the chapter deals with running time analysis including big O notation. So by Chapter 2 we can conclude that this is a terrible book?

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No, not a bit of it. It is a really good read, but only if you are up to taking in the details of the algebra and the programs. If you can then it is a really good book that will tell you much that a more academic book would make much more inaccessible. Chapter 3 explains what every programmer should know about the theory of searching and sorting from binary search to Quicksort.

Chapter 4 extends this and looks at lower bounds on comparison and counting sorts. Chapter 5 is called Directed Acyclic Graphs and again this give you evidence that the book isn't aimed at the non-technical reader. If it was then the chapter would be called "Networks" or even "Social Networks" to try and persuade the reader that it's cool.

It is but only if you are into Dijkstra's algorithm with a side order of Bellman-Ford and Floyd-Warshal algorithm which are all covered in chapter 6. Again the tone of the book is very mathematical with matrices and some longish programs. Chapter 7 is about string algorithms, including longest common subsequence and string transformations.

This is an area that has become very interesting of late due to its application in working with DNA sequences. Next we have a chapter on cryptography, including RSA and random number generation, and on on data compression, which covers basic Huffman coding and works its way to LZW, which is the basis of zip and other compression applications.

The final chapter is called "Hard? This is the most theoretical of the chapters but as long as you have some background in algebra and some idea of what computer science is all about you will love it.

Conclusion The bottom line is that this is not the book you should rush out to buy as a present for you nearest and dearest - unless they happen to be a math-capable programmer. The ideal reader is probably a first year, or prospective, computer science student or the programmer who wants to get an easy-to-read view of the subject. It clearly is possible to write a book that explains algorithms for the general reader - mainly by leaving out runtime analysis and simply supplying the broad ideas - but this isn't it.

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Library Resource Finder: Table of Contents for: Algorithms unlocked

Conceptual Modeling. Mong Li Lee. Guide to Voice and Video over IP. Lingfen Sun. R Data Structures and Algorithms. PKS Prakash. Graph Drawing and Network Visualization. Yifan Hu. Digital Logic Design. Guy Even. How to Think About Algorithms. Jeff Edmonds. Pattern Mining with Evolutionary Algorithms.

Ryan Kastner. C Data Structures and Algorithms. Marcin Jamro. Mathematical Models, Methods and Applications. Abul Hasan Siddiqi. Peter A. Smart Card Research and Advanced Applications. Kerstin Lemke-Rust. Algorithmic Decision Theory. Chi-Yu Huang. Basics of Software Engineering Experimentation. Ana M. Long Cheng. How to write a great review. The review must be at least 50 characters long. The title should be at least 4 characters long.

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