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Algorithm Design: Foundations, Analysis, and Internet Examples, by Michael T. Goodrich, Roberto Tamassia
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Michael Goodrich and Roberto Tamassia, authors of the successful, Data Structures and Algorithms in Java, 2/e, have written Algorithm Engineering, a text designed to provide a comprehensive introduction to the design, implementation and analysis of computer algorithms and data structures from a modern perspective. This book offers theoretical analysis techniques as well as algorithmic design patterns and experimental methods for the engineering of algorithms.
Market: Computer Scientists; Programmers.
- Sales Rank: #344329 in Books
- Published on: 2001-10-15
- Original language: English
- Number of items: 1
- Dimensions: 9.19" h x 1.04" w x 7.52" l, 2.68 pounds
- Binding: Paperback
- 720 pages
Most helpful customer reviews
9 of 11 people found the following review helpful.
Good Fundamentals
By Randy Given
There are many good books with this title or similar ones. This is probably one of the better ones for your bookshelf and for use in academia. The examples are written in Java (a current language) and they are easy to read. The presentation is clean and illustrative. The authors have a good track record for expertise and papers published, and you get the sense that it is more real-world than most similar books.
7 of 8 people found the following review helpful.
Do yourself a favor and dont buy this book
By El Kharezmi
Though I am a member of Amazon for years, and purchased many books, this is my first review about a book. It`s 2 am, and I am trying to understand the book`s questions, as a PhD student for hours. I took algorithms course before when I was getting my MS in a different university, where we were using Cormen & Leiserson`s book, I was liking this course and having no problems, I also watched all the MIT OCW`s lectures from Leiserson and the other young professor, and I can say I was totally comfortable with subjects. Algorithm was a course I was liking till I came across with that book.
However, this book became my nightmare with its ambiguities, poorly written sentences, ambiguous questions. I asked TA about some questions, and for every and every question I asked, she said `oh yes, this was not clear for other students too, so we thought this may be ...` And the hard part about questions are understanding the question, not solving it. This incidence happened in a 2nd tier(top 30) US university, in a graduate course.
What can I say? What is the reason and justification to write such a book?
I think, during my life I used over 40 textbooks, this one without doubt is in top 3 in worst text book lists (with Mark Weiss`s Data Structures, and Sedra& Smith`s microelectronics). I am giving two stars because they made at least a website, though I cant say its very helpful, they continue to being ambiguous even in the hints they say.
The book is so dull that, by just inspecting introduction which tells Archimed`s history (which became a cliche even in high school books and irrelevant to the introduction and algorithms in general) you can see this. Then look at Sedgewick`s introduction about an efficient algorithm finding prime numbers, Knuth`s introduction about roots of algorithm word etc...
I recommend Cormen`s or Sedgewick`s books, actually I cant imagine a worse book than that, if I had written something only that can be worser, but I am not claiming I am a good writer/author (as it can be seen from this review). I am sorry for writing such a harsh review, but my advice if you see a course offering this textbook, please refrain for taking the course for your good.
3 of 6 people found the following review helpful.
A good introduction text to algorithms
By Brian
I would not consider this book as the ultimate book for algorithms as the title suggests. :-) However, it is a very readable book, and filled with brief, but concise observations. Do not get me wrong. This book also has very detailed explanations of fundamental data structures and algorithms.
Also, the best part of the book is that it lists good references for further readings. I loved this book. I would suggest this book to others. Math hints at the back of the books are useful, and some excercises are quite brain challenging. I think it is a great practice for students, but it is not so fun when students get it for assignments. :-)
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