This Hardcover Book item from McGraw-Hill Science/Engineering/Math was reviewed on 7-Nov-2008.
Search ISBN:0072970545 offer from Abebooks or used books from Alibris. Introduction to Algorithms Reference Book. Classifications : Algorithms Computer Science New & Used Textbooks Custom Stores Specialty Stores Books General AAS Computer Science New & Used Textbooks Custom Stores Specialty Stores Books General AAS New & Used Text . Click the following link to view the cover of Introduction to Algorithms. Related topics: Algorithms. Computer Science. Custom Stores. Specialty Stores. Books. General AAS. Computer Science. Custom Stores. Specialty Stores. Books. requestid: 372d1046-7ab1-4e82-9210-9741acb98e0f
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edition: 2nd
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1) Hardcover Book Introduction to Algorithms by McGraw-Hill Science/Engineering/Math. this book was kept up...no pages missing
was a great deal for me, it beats buyin the book for full price¤ 2) Hardcover Book Introduction to Algorithms by McGraw-Hill Science/Engineering/Math. I received the book in a fairly good amount of time. I will just note that this book did not come with it´s companion CD. I expected it to have it´s companion cd. There was not mention as to whether or not the book had it´s companion cd.¤ 3) Hardcover Book Introduction to Algorithms by McGraw-Hill Science/Engineering/Math. I used this book for a graduate level Algorithms course, and I really liked it. It is packed full of content on a wide range of topics. While this book does provide some high-level implementations of algorithms in pseudo-code, you will not find any examples of how to program algorithms in this book. That´s really not what this book is meant for anyways.
I found the reading to be easier than Knuth on similar topics, but you still need to have sufficient mathematical background in order to keep up (statistics, discrete math, some calculus). Also, unlike many technical books I´ve read recently, I did not find any mistakes, not even a typo.
Some people are not aware that the MIT Open Courseware website has some excellent free video course lectures that use this book. I highly recommend at least viewing the first three or four of those lectures if you are new to this topic because they compliment this book very well. Make sure you understand the first four chapters of this book before moving on to other topics.
Also, since it had been a while since I had the math as an undergraduate, I was relieved to learn that this book had several appendices that provided a review of the math topics required by the book.
The only negative about the book is that it does not provide answers to any of the exercises at the end of the chapters, so you really need to use this book in conjunction with a course in order to be able to check your progress and how well you are learning the information. If you´re not using this book with a course, check the MIT Open Courseware website that I mentioned previously. It has some sample assignments you can use.¤ 4) Hardcover Book Introduction to Algorithms by McGraw-Hill Science/Engineering/Math. There are three versions of the second edition, only one of which has the CD:
The first one is published by the MIT Press, with the title "Introduction to Algorithms". This one has no CD. This is the one Amazon currently carries, so if you buy from Amazon, you get no CD.
The second one is published by McGraw-Hill, also with the title "Introduction to Algorithms". This one also has no CD.
The third one is published by McGraw-Hill too, but has the title "Introduction to Algorithms and Java CD-ROM". This is the one with the CD. It´s much more expensive than the other two.
The CD in the third version contains implementations of the algorithms in Java.
To find someone that carries the CD version, search for this ISBN-13 number: 9780072970548 , or for "Introduction to Algorithms and Java CD-ROM" .
Note: Some listings that come up for the ISBN number will not be the correct version. Look carefully for "and Java CD-ROM" before buying.¤ 5) Hardcover Book Introduction to Algorithms by McGraw-Hill Science/Engineering/Math. This book is (in my opinion) an essential resource of common computer science algorithms. It covers a broad range of different algorithm topics and I found the explanations by the authors extremely helpful and simple to understand (both with simple and advanced topics). It does attempt to cover as many algorithm topics as possible, so some topics may not be covered in fine detail (it does not spend as much time on runtime analysis as other books, or spend much time on NP problems). It is perfect for someone taking an algorithms class (grad or undergrad), or someone looking to broaden their algorithm knowledge. I only wish there was some form of solutions guide to help verify answers to review questions.¤ 6) Hardcover Book Introduction to Algorithms by McGraw-Hill Science/Engineering/Math. The updated new edition of the classic Introduction to Algorithms is intended primarily for use in undergraduate or graduate courses in algorithms or data structures. Like the first edition, this text can also be used for self-study by technical professionals since it discusses engineering issues in algorithm design as well as the mathematical aspects. In its new edition, Introduction to Algorithms continues to provide a comprehensive introduction to the modern study of algorithms. The revision has been updated to reflect changes in the years since the book´s original publication. New chapters on the role of algorithms in computing and on probabilistic analysis and randomized algorithms have been included. Sections throughout the book have been rewritten for increased clarity, and material has been added wherever a fuller explanation has seemed useful or new information warrants expanded coverage. As in the classic first edition, this new edition of Introduction to Algorithms presents a rich variety of algorithms and covers them in considerable depth while making their design and analysis accessible to all levels of readers. Further, the algorithms are presented in pseudocode to make the book easily accessible to students from all programming language backgrounds. Each chapter presents an algorithm, a design technique, an application area, or a related topic. The chapters are not dependent on one another, so the instructor can organize his or her use of the book in the way that best suits the course´s needs. Additionally, the new edition offers a 25% increase over the first edition in the number of problems, giving the book 155 problems and over 900 exercises that reinforce the concepts the students are learning.¤ 7) Hardcover Book Introduction to Algorithms by McGraw-Hill Science/Engineering/Math. If you had to buy just one text on algorithms, Introduction to Algorithms is a magnificent choice. The book begins by considering the mathematical foundations of the analysis of algorithms and maintains this mathematical rigor throughout the work. The tools developed in these opening sections are then applied to sorting, data structures, graphs, and a variety of selected algorithms including computational geometry, string algorithms, parallel models of computation, fast Fourier transforms (FFTs), and more. This book´s strength lies in its encyclopedic range, clear exposition, and powerful analysis. Pseudo-code explanation of the algorithms coupled with proof of their accuracy makes this book is a great resource on the basic tools used to analyze the performance of algorithms.¤ Page Updated: Robert N. Goolsby, 5-Dec-2008, 00729705459780072970548, 450-680-520-120-650-730-931-8 
Introduction to Algorithms, Book, Image © McGraw-Hill Science/Engineering/Math
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