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Algorithm Design: Foundations, Analysis, And Internet Examples

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.

Paperback: 720 pages

Publisher: Wiley; 1 edition (October 15, 2001)

Language: English

ISBN-10: 0471383651

ISBN-13: 978-0471383659

Product Dimensions: 7.5 x 1 x 9.2 inches

Shipping Weight: 3.2 pounds (View shipping rates and policies)

Average Customer Review: 2.8 out of 5 stars  See all reviews (18 customer reviews)

Best Sellers Rank: #64,060 in Books (See Top 100 in Books) #19 in Books > Textbooks > Computer Science > Algorithms #22 in Books > Computers & Technology > Programming > Languages & Tools > C & C++ > C #38 in Books > Computers & Technology > Programming > Algorithms

Though I am a member of 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.

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