Algorithm wholesale discount Design online

Algorithm wholesale discount Design online

Algorithm wholesale discount Design online
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Algorithm Design introduces algorithms by looking at the real-world problems that motivate them. The book teaches students a range of design and analysis techniques for problems that arise in computing applications. The text encourages an understanding of the algorithm design process and an appreciation of the role of algorithms in the broader field of computer science.

August 6, 2009 Author, Jon Kleinberg, was recently cited in the for his statistical analysis research in the Internet age.



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4.3 out of 54.3 out of 5
264 global ratings

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Top reviews from the United States

Abhishek Srivastava
5.0 out of 5 starsVerified Purchase
Selling Indian subcontinent edition at US dollar pricing
Reviewed in the United States on May 24, 2020
The book is one of the best books you can buy on Algorithms. However I do have a problem with the seller (BestStore4Books). The paper quality of the book I received is horrible. The reason is that the seller is taking Indian prints (which cost few hundred rupees) and he is... See more
The book is one of the best books you can buy on Algorithms. However I do have a problem with the seller (BestStore4Books). The paper quality of the book I received is horrible. The reason is that the seller is taking Indian prints (which cost few hundred rupees) and he is re-selling in the US market for considerable profit. The problem is that the print quality is totally inferior to the books which are printed in the US. The seller is using this corrupt practice to make money.

Indian continent books are not supposed to be sold in US market but this seller (BestStore4Books) is doing it.
19 people found this helpful
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Dan
3.0 out of 5 starsVerified Purchase
Good for reference and teaching, but occassionally makes bad assumptions about obviousness
Reviewed in the United States on December 8, 2015
Typically, the book is clear with its proofs and describes good methods for finding solutions to tough problems. Others have said what is good about the book, and as a reference it is great. From a student perspective it has some issues that keep cropping up over and... See more
Typically, the book is clear with its proofs and describes good methods for finding solutions to tough problems. Others have said what is good about the book, and as a reference it is great. From a student perspective it has some issues that keep cropping up over and over.

The biggest issue is that the authors assume a high degree of "obviousness" in problems. I don''t mind having to make an intuitive leap to solve a problem, but this often requires an intuitive leap to understand the actual problem rather than the solution. For example, they do not often define terms used in questions, leaving the user to guess. Perhaps this should fall under the professor''s domain, but it is still frustrating. The index is not great. The authors perhaps need to re-evaluate what is common knowledge to practitioners who are not invested in the domain of algorithm analysis.

Otherwise a good book. Heck, if you don''t do the exercises and just use it for reference you couldn''t do better.
14 people found this helpful
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Rahul Banerjee
5.0 out of 5 starsVerified Purchase
Excellent book, but do NOT buy the Kindle edition!
Reviewed in the United States on December 10, 2011
This review is for the Kindle edition of "Algorithm Design" by Kleinberg and Tardos Algorithm Design This book is wonderfully organized. I used it for an Algorithms course and it''s just very well laid out, with a nice progression of topics. If... See more
This review is for the Kindle edition of "Algorithm Design" by Kleinberg and Tardos Algorithm Design

This book is wonderfully organized. I used it for an Algorithms course and it''s just very well laid out, with a nice progression of topics. If you want to gain a good "overall" picture of algorithms, this book is perfect. As with any kind of math, if you want to go much deeper, you''ll need specialized textbooks for particular topics, but for a reasonably complete, holistic, one-semester course, you''ll love this book. I should also point out that there are several well-crafted exercises in each chapter to cement your understanding and give your grey matter a good workout!

IMPORTANT: The Kindle edition of this book is a horribly travesty to the non-digital edition. The typesetting is crude (Amazon, you can do way better!), important figures/diagrams are scaled to tiny sizes, and formulas just plain look incorrect. My best guess is that this was re-typeset by hand, by a non-technical person using MS Word, so they simply messed it up badly. Personally, I am kicking myself for having paid nearly $90 for this, when I could''ve bought the "real" textbook for $110.

I was sorely tempted to give it a one-star review, but the content is top-notch, brilliantly put-together and an asset to any student of Computer Science. To recap: DO NOT BUY THE KINDLE EDITION!

If you do buy the Kindle edition after reading this review, you''ll only have yourself to blame.
70 people found this helpful
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Kevin Lopez
5.0 out of 5 starsVerified Purchase
Incredible resource
Reviewed in the United States on May 25, 2021
This was the required text for my course in algorithm analysis. We covered the first 8 chapters but I was intrigued the whole way through by the way in which the authors present the content. It is easy to digest, therefore quite hard to get lost and there are many... See more
This was the required text for my course in algorithm analysis. We covered the first 8 chapters but I was intrigued the whole way through by the way in which the authors present the content. It is easy to digest, therefore quite hard to get lost and there are many interesting ideas in each section. I will probably finish the rest of the text this summer after classes end.
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Derek
3.0 out of 5 starsVerified Purchase
ISBN 9788131703106 is the "international edition"
Reviewed in the United States on December 10, 2013
Specifically with regard to ISBN 9788131703106, which is an edition printed in Asia / India, the physical quality of the book is substandard relative to most modern paperbacks. I initially thought that I had received a counterfeit copy of the book, but this was... See more
Specifically with regard to ISBN 9788131703106, which is an edition printed in Asia / India, the physical quality of the book is substandard relative to most modern paperbacks.

I initially thought that I had received a counterfeit copy of the book, but this was my introduction to "international edition" textbooks.

I bought a new, shrink-wrapped copy of this. The text of almost every page runs right into the binding, which makes it difficult to read. The printing on some pages is very crooked. A few pages seem to have been printed on dirty or slightly wrinkled paper. The second page of the book, "About the Authors," is glued for the first half inch to the page in front of it, covering up about the first four letters of each line of text. There is no copyright page. It is not on acid-free paper.

On the positive side, most pages are 100% readable if you jamb your fingers firmly into the binding to push the pages apart. So it may be a bargain if you don''t mind doing that. Some of these imperfections are incidental in nature, and I don''t know whether my copy is one of the better ones or one of the worse ones.

I have not yet read the book, so read other reviews and ratings for that aspect. It looks like a long, dense read, but well written. There are many diagrams and some code samples throughout.

I don''t know if other editions have any color, but this one is only black-and-white. There does not appear to be anything needing color. Gray shading in the diagrams is perfectly legible.

Some sellers mention that this is the "international edition" but others don''t. So I recommend checking the ISBN of whatever edition you consider and finding out where it was printed.
16 people found this helpful
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Mark_I9
4.0 out of 5 starsVerified Purchase
Great book, international edition is fantastic.
Reviewed in the United States on March 29, 2015
I''m not normally a fan of CS textbooks, but this one is great. With the well written text, great examples, and good exercises, this book was fantastic. My only complaint is that the book lacks many solutions to the problems. Also, the international edition is a... See more
I''m not normally a fan of CS textbooks, but this one is great. With the well written text, great examples, and good exercises, this book was fantastic. My only complaint is that the book lacks many solutions to the problems.

Also, the international edition is a perfect soft-cover version - get this one and save a bunch.
10 people found this helpful
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Sunil Kumar
4.0 out of 5 starsVerified Purchase
Good book but selling the Indian subcontinent version for higher price
Reviewed in the United States on September 20, 2021
This book is an excellent resource for a wide range of algorithms. It explains the fundamentals of algorithms and its time complexity in detail. Also, found that the seller is using Indian SubContinent version of the book for US order price. I''ve receieved the book... See more
This book is an excellent resource for a wide range of algorithms. It explains the fundamentals of algorithms and its time complexity in detail. Also, found that the seller is using Indian SubContinent version of the book for US order price. I''ve receieved the book published by Dorling Kindersley(India) pvt ltd., Noida UP, licensee of Pearson Education in South Asia.
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S. Purpura
5.0 out of 5 starsVerified Purchase
Approachable
Reviewed in the United States on December 12, 2008
Algorithm Design is an approachable introduction to sophisticated computer science. It is the undergraduate CS textbook for Jon Kleinberg''s introduction to algorithm design course, but I bought it for the mincut classification algorithm explanation in Chapter 7. While a... See more
Algorithm Design is an approachable introduction to sophisticated computer science. It is the undergraduate CS textbook for Jon Kleinberg''s introduction to algorithm design course, but I bought it for the mincut classification algorithm explanation in Chapter 7. While a useful reference for graph method algorithm design, I read most of the book from the beginning because the chapters nicely build upon themselves.

I can''t promise you that you''ll be a great computer scientist if you master the topics in the book, but working through these examples and problems will make you better.
5 people found this helpful
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Top reviews from other countries

Anthony Lauder
4.0 out of 5 starsVerified Purchase
Approachable and motivating, but doesn''t cover analysis
Reviewed in the United Kingdom on April 17, 2016
Algorithms tend to cover three topics: (1) A motivation for each algorithm (the problem to be solved) (2) A description of an algorithm that solves that problem (3) An analysis of the algorithm (in terms of correctness and performance) Many algorithms books (including the...See more
Algorithms tend to cover three topics: (1) A motivation for each algorithm (the problem to be solved) (2) A description of an algorithm that solves that problem (3) An analysis of the algorithm (in terms of correctness and performance) Many algorithms books (including the highly popular Cormen et al book) place most emphasis on (3). This book, on the other hand, is strongest in (1), placing a lot of emphasis on describing challenging problems. This has the tremendous advantage of really getting you to see why you should even be interested in the algorithms themselves. For that alone, I recommend this book highly. The only downside is that to make the book approachable, it deemphasises (3) which tends to be rather mathematical. If you are interested in analysis of algorithms, you need another book. If you can afford it, buying this book and the Cormen book would be ideal, since together they cover (1), (2), and (3) well.
Algorithms tend to cover three topics:

(1) A motivation for each algorithm (the problem to be solved)
(2) A description of an algorithm that solves that problem
(3) An analysis of the algorithm (in terms of correctness and performance)

Many algorithms books (including the highly popular Cormen et al book) place most emphasis on (3).

This book, on the other hand, is strongest in (1), placing a lot of emphasis on describing challenging problems. This has the tremendous advantage of really getting you to see why you should even be interested in the algorithms themselves. For that alone, I recommend this book highly.

The only downside is that to make the book approachable, it deemphasises (3) which tends to be rather mathematical. If you are interested in analysis of algorithms, you need another book. If you can afford it, buying this book and the Cormen book would be ideal, since together they cover (1), (2), and (3) well.
5 people found this helpful
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Mircea
5.0 out of 5 starsVerified Purchase
Great and helpful
Reviewed in the United Kingdom on October 25, 2016
I use it to get deeper into algorithms. It seems to be great and helpful, having good explanations, both textual and visual. There''s no reason I should give it less than 5 stars. One addition would be nice though: to have answers for all exercises. Now only some exercises...See more
I use it to get deeper into algorithms. It seems to be great and helpful, having good explanations, both textual and visual. There''s no reason I should give it less than 5 stars. One addition would be nice though: to have answers for all exercises. Now only some exercises have answers, thus making it harder to know if what I did was right. Nevertheless, it''s a great piece of work.
I use it to get deeper into algorithms.
It seems to be great and helpful, having good explanations, both textual and visual.
There''s no reason I should give it less than 5 stars.

One addition would be nice though: to have answers for all exercises.
Now only some exercises have answers, thus making it harder to know if what I did was right.

Nevertheless, it''s a great piece of work.
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sudoankit
5.0 out of 5 starsVerified Purchase
Absolutely brilliant!
Reviewed in India on February 6, 2021
Introduction to Algorithms by Cormen et el. (CLRS) is generally considered the de facto material when you''re starting your study of algorithmic analysis. I too fell into this hole dug so deep by countless syllabi suggesting the same. CLRS is a very very dry book, it''s...See more
Introduction to Algorithms by Cormen et el. (CLRS) is generally considered the de facto material when you''re starting your study of algorithmic analysis. I too fell into this hole dug so deep by countless syllabi suggesting the same. CLRS is a very very dry book, it''s boring and very difficult especially if you''re studying the subject yourself. Don''t get me wrong though, it''s comprehensive, it''s sufficiently rigorous and absolutely on the path to be a classic. It''s dry but it''s the best desert to visit. I believe when you''re starting a new topic, new subject you don''t need how''s and what''s — you need why? Algorithm design by Kleinberg and Tardos is exactly this — why algorithms? It reads very smooth, very clever and pauses enough to let you think and once you do it surprises you with insanely clever ways algorithms are designed and presents precise, clear formulations of the very best algorithms you should know. Read it once with a pencil and again with paper and pen to note down important concepts. Read it again. The more you read further you''ll realize that the concepts and problems before now can be approached in a more novel, efficient and clever ways still keeping the fundamental ethos of algorithm design true — simple yet efficient. Every chapter has a few problems which to solve require you to feel how algorithms are designed — initially you''ll be scared, frustrated and you might leave them unsolved. Don''t worry and come back again and again till you solve your first one. After this it''s pure joy, pure bliss I never thought I would get from a book. I do have CLRS. I like it but I love this book. Algorithm design easily & effortlessly catapults itself to my top academic texts I have ever read. I''m eternally grateful for the Professors to write such a masterpiece.
Introduction to Algorithms by Cormen et el. (CLRS) is generally considered the de facto material when you''re starting your study of algorithmic analysis. I too fell into this hole dug so deep by countless syllabi suggesting the same.

CLRS is a very very dry book, it''s boring and very difficult especially if you''re studying the subject yourself. Don''t get me wrong though, it''s comprehensive, it''s sufficiently rigorous and absolutely on the path to be a classic. It''s dry but it''s the best desert to visit.

I believe when you''re starting a new topic, new subject you don''t need how''s and what''s — you need why?

Algorithm design by Kleinberg and Tardos is exactly this — why algorithms? It reads very smooth, very clever and pauses enough to let you think and once you do it surprises you with insanely clever ways algorithms are designed and presents precise, clear formulations of the very best algorithms you should know.

Read it once with a pencil and again with paper and pen to note down important concepts. Read it again. The more you read further you''ll realize that the concepts and problems before now can be approached in a more novel, efficient and clever ways still keeping the fundamental ethos of algorithm design true — simple yet efficient.

Every chapter has a few problems which to solve require you to feel how algorithms are designed — initially you''ll be scared, frustrated and you might leave them unsolved. Don''t worry and come back again and again till you solve your first one.
After this it''s pure joy, pure bliss I never thought I would get from a book.

I do have CLRS. I like it but I love this book. Algorithm design easily & effortlessly catapults itself to my top academic texts I have ever read.

I''m eternally grateful for the Professors to write such a masterpiece.
8 people found this helpful
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Amazon Customer
3.0 out of 5 starsVerified Purchase
Great book, bad delivery
Reviewed in India on August 16, 2017
This book beautifully captures the essense of algorithms and is really good for developing a keen sense for algortihms. I had this book as epub and after reading through almost 200 pages I really felt the need to have this as hardcopy. Also, for people starting out, I would...See more
This book beautifully captures the essense of algorithms and is really good for developing a keen sense for algortihms. I had this book as epub and after reading through almost 200 pages I really felt the need to have this as hardcopy. Also, for people starting out, I would strongly recommend this instead of CLRS. This would be a refreshing read. Cons : Does not have a detailed index and preface compared to the digital version. Although this does not happen often, but this delivery really was pretty bad. Had to contact support 4 times in 3 days. But, support staff did a pretty good job in sorting the thing out.
This book beautifully captures the essense of algorithms and is really good for developing a keen sense for algortihms. I had this book as epub and after reading through almost 200 pages I really felt the need to have this as hardcopy. Also, for people starting out, I would strongly recommend this instead of CLRS. This would be a refreshing read.

Cons :
Does not have a detailed index and preface compared to the digital version.

Although this does not happen often, but this delivery really was pretty bad. Had to contact support 4 times in 3 days. But, support staff did a pretty good job in sorting the thing out.
11 people found this helpful
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Marco Matarese
4.0 out of 5 starsVerified Purchase
Usato per Algoritmi e Strutture Dati II
Reviewed in Italy on February 25, 2018
Un buon testo che ho usato per studiare il corso di Algoritmi II all''università. Si tratta di un testo con una certa fama, ho trovato conveniente questa versione internazionale rispetto alla versione standard che costa molto di più. Non so precisamente quali differenze ci...See more
Un buon testo che ho usato per studiare il corso di Algoritmi II all''università. Si tratta di un testo con una certa fama, ho trovato conveniente questa versione internazionale rispetto alla versione standard che costa molto di più. Non so precisamente quali differenze ci siano rispetto alla versione standard - stando all''indice nessuna - ma penso che siano cose di poco conto, come l''assenza di un indice corposo all''inizio del testo, dove c''è solo l''indice del capitoli.
Un buon testo che ho usato per studiare il corso di Algoritmi II all''università. Si tratta di un testo con una certa fama, ho trovato conveniente questa versione internazionale rispetto alla versione standard che costa molto di più. Non so precisamente quali differenze ci siano rispetto alla versione standard - stando all''indice nessuna - ma penso che siano cose di poco conto, come l''assenza di un indice corposo all''inizio del testo, dove c''è solo l''indice del capitoli.
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