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have extensively revised this best seller on algorithm design and analysis to make it the most current and accessible book available. This edition features an increased emphasis on algorithm design techniques such as divide-and-conquer and greedy algorithms, along with the addition of new topics and exercises. It continues the tradition of solid mathematical analysis and clear writing style that made it so popular in previous editions. Highlights *Emphasizes the development of algorithms through a step-by-step process rather than merely presenting the end result * Stresses the importance of the algorithm analysis process-continuously re-evaluating, modifying, and perhaps rejecting algorithms until a satisfactory solution is attained * Provides extensive treatment of recursion with a clear, student-friendly review of how it works and why it is a valuable programming technique * Uses a Java-like pseudocode; includes an appendix with Java examples 0201612445B04062001
- Sales Rank: #452079 in Books
- Color: Multicolor
- Published on: 1999-11-15
- Original language: English
- Number of items: 1
- Dimensions: 9.10" h x 1.60" w x 7.30" l, 2.76 pounds
- Binding: Paperback
- 688 pages
- textbook
- Computer Science
From the Back Cover
Drawing upon combined decades of teaching experience, Professors Sara Baase and Allen Van Gelder have extensively revised this best seller on algorithm design and analysis to make it the most current and accessible book available. This edition features an increased emphasis on algorithm design techniques such as divide-and-conquer and greedy algorithms, along with the addition of new topics and exercises. It continues the tradition of solid mathematical analysis and clear writing style that made it so popular in previous editions.
Highlights
- Emphasizes the development of algorithms through a step-by-step process rather than merely presenting the end result
- Stresses the importance of the algorithm analysis process—continuously re-evaluating, modifying, and perhaps rejecting algorithms until a satisfactory solution is attained
- Provides extensive treatment of recursion with a clear, student-friendly review of how it works and why it is a valuable programming technique
- Uses a Java-like pseudocode; includes an appendix with Java examples
0201612445B04062001
About the Author
Sara Baase is a Professor of Computer Science at San Diego State University, and has been teaching CS for 25 years. Dr. Baase is a three-time recipient of the San Diego State University Alumni Association's Outstanding Faculty Award, and she has written a number of textbooks in the areas of algorithms, assembly language and social and ethical issues related to computing. She earned her doctorate at the University of California, Berkeley. Allen Van Gelder is a Professor of Computer Science at the University of California at Santa Cruz, where he has been teaching CS for 12 years. He received his Ph.D. in Computer Science at Stanford University, and is a past recipient of the Presidential Young Investigator Award.
0201612445AB04062001
Most helpful customer reviews
16 of 17 people found the following review helpful.
A Student's Review
By A Customer
I'm a 4th year undergraduate student in computer science and I just finished the Design and Analysis of Computer Algorithms course that was based on this book.
I thought the book was horrible. It did little to help me understand anything but general ideas. Reading this book is like reading a volume of mathematical proofs. The authors speak in symbols.
What makes it much worse is that every page makes multiple references to other portions of the text that aren't on the facing pages. They might be one page turn away, but very often they are a few pages, or even chapters away!
The only reason I would keep this book is for the list of topics it covers.
10 of 10 people found the following review helpful.
Considerably worse than the second edition.
By G. C. Rhoads
The second edition was arguably the best undergraduate text on algorithms. But unfortunately the 3rd (current) edition is a major disappointment. On the positive side, the coverage of graph algorithms was expanded; on the negative side, is everything else! The explanations are consistently worse than in the second edition. The description and explanation of Quicksort is particularly bad, in fact it's so horrible it should be ripped out of the book and thrown away. About the only use the book now has is as a source of exercises for professors to assign to their students -- fortunately, the exercises are almost entirely the same as in the second edition and are still the best set in any algorithms text.
I have only one thing to say to the author; if it ain't broke, don't fix it!
8 of 10 people found the following review helpful.
the result is poor
By B. Etin
This is one of two books I must say sorry to. I hope readers may find my words helpful. I must say this is a poor book, although I feel the authors did put efforts to make it nice.
There are a lot of classical and excellent books on this subject. But here's the reason my department chose it as our textbook: Because the other books are relatively hard and deep for the students.
But here is the response from the studnets at the end of the semester, no matter it is an A student or C student: They hate this book, since they can not get much information after spending hours and hours on it. And they eventually found those "harder" books in lib, and loved them. The key reason is, those books explained everything clearly. (In almost the same number of pages.)
The key problem as I see is, the authors just understood the materials in a certain way, but not thoroughly, and not able to explain it in a clear way. Only a person who has already know all the stuff can figure out what are the authors talking about in some part of the book.
Now I believe, in order to write a good textbook for students, at least you should be a master in this area.
If some of my words hurts, I am sorry. But I am talking about my feeling and most students' feeling.
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