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Introduction to Algorithms and Java CD-ROM
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, I
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Hardcover, 1056 pages
Published
December 16th 2003
by McGraw-Hill Science/Engineering/Math
(first published December 1st 1989)
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Community Reviews
(showing 1-30 of 3,000)
What a terrible book. Though it's the cornerstone of many CS undergrad algorithm courses, this book fails in every way. In almost every way, Dasgupta and Papadimitriou's "Algorithms" is a much better choice: http://www.goodreads.com/book/show/13...
It tries to be a reference book presenting a good summary of algorithms but any of the interesting bits are left as "exercises to the student." Many of these exercises are do-able but far from trivial mental connections. A few require some mental Ah Ha ...more
It tries to be a reference book presenting a good summary of algorithms but any of the interesting bits are left as "exercises to the student." Many of these exercises are do-able but far from trivial mental connections. A few require some mental Ah Ha ...more
Jun 10, 2011
Khaled Alhourani
rated it
it was amazing
·
review of another edition
Shelves:
algorithms
An essential book for every programmer, you can't read this kind of book on bus, you need to fully constraint while reading it. The exercises after each chapter are very important to fully understand the chapter you just read, and to activate your brain's neurons. The book in itself is an outstanding one, very organized, focused and small chapters makes it easier to understand the algorithms inside it.
It contains the essential and most popular algorithms, so you can't live wthout it if you are r ...more
It contains the essential and most popular algorithms, so you can't live wthout it if you are r ...more
An essential, well-written reference, and one it's quite possible to read through several times, picking up new info each time. That having been said....this book never, I felt, adequately communicated THE LOVE. The pseudocode employed throughout is absolutely wretched, at times (especially in later chapters) binding up and abstracting away subsidiary computational processes not with actual predefined functions but english descriptions of modifications thereof -- decide whether you're writing co
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While searching for a Bible of algorithms, I of course quickly gravitated towards Knuth's Art of Computer Programming series. It's thousands of pages long —a magnum opus still in progress; how could it not be the most desirable source?
My research quickly yielded mixed opinions from the community. Some loved Knuth's books, while others found their language impenetrable, their code irrelevant, or their assertions wrong or out of date.
All, on the other hand, universally praised Introduction to Alg ...more
My research quickly yielded mixed opinions from the community. Some loved Knuth's books, while others found their language impenetrable, their code irrelevant, or their assertions wrong or out of date.
All, on the other hand, universally praised Introduction to Alg ...more
Rather pointless to review this, as in most places this is the algorithms textbook. It's a good book that covers all the major algorithms in sufficient detail with every step clearly spelled out for the students' benefit.
Unfortunately, this neatness of presentation is also its most major drawback: (1) it spends more time describing algorithms than giving the reader an idea of how to design them, and (2) it can easily give the impression that algorithms is about spending a lot of time proving obv ...more
Unfortunately, this neatness of presentation is also its most major drawback: (1) it spends more time describing algorithms than giving the reader an idea of how to design them, and (2) it can easily give the impression that algorithms is about spending a lot of time proving obv ...more
Well, technically I didn't finish reading all the chapters in the book, but at least I've read most of it. The topics in the book is well explained with concise example. But sometimes, I need to find out the explanation by myself, things that I found interesting but sometimes frustrating. If I run into this situation, sometimes I need to find another reference to help me understand the problem. But still, this is a good book.
The textbook on algorithms. It does not do a very good job of teaching how to design algorithms, but it is an authoritative catalog of algorithms for a wide variety of situations.
This is an excellent book for software engineers and students of computer science and engineering who want to have a good understanding of algorithms.
Algorithms, which perform some sequence of mathematical operations, form the core of computer programming. Intended as a text for computer programming courses, especially undergraduate courses in data structures and graduate courses in algorithms, an “Introduction to Algorithms” provides a comprehensive overview, that will be appreciated technical professionals, as well.
The major topics presented are sorting, data structures, graph algorithms and a variety of selected topics. Computer programmer ...more
The major topics presented are sorting, data structures, graph algorithms and a variety of selected topics. Computer programmer ...more
Das Buch wurde uns zur Vertiefung zur Vorlesung "Algorithmen und Datenstrukturen" empfohlen. Da es kein Skript im klassischen Sinn gab (dafür eine Mailingliste und eingescannte Notizen des Dozenten), war das Buch somit meine Hauptinformationsquelle für die Nachbereitung nach der Vorlesung. Dabei hat sich das Buch als extrem hilfreich erwiesen, obwohl natürlich nur ein Bruchteil des Buches überhaupt behandelt wurde, da das den Rahmen des 1. Semesters mit Sicherheit gesprengt hätte. Dazu kommt noc
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The book gives a solid foundation of common non-trivial algorithms and data structures. It all comes with nice pseudocode, detailed walk-throughs and complexity analysis (along with worst case, average case and amortized complexity).
Personally I'd prefer to see the material in much more compact form, covering more of topics and more advanced or tricky algorithms and data structures. However, when something isn't clear, the detailed walk-throughs really help. Also, the exercises provided are inva ...more
Personally I'd prefer to see the material in much more compact form, covering more of topics and more advanced or tricky algorithms and data structures. However, when something isn't clear, the detailed walk-throughs really help. Also, the exercises provided are inva ...more
Jan 10, 2016
Harshil Lodhi
rated it
really liked it
·
review of another edition
Shelves:
computer-science
A book that one should definitely read once in the computer science career. It gives a mathematical and in depth look at how to understand algorithms and data structures, their time and space complexities and its proofs.
It could be a little hard, complex and lengthy for those who don't like in depth mathematics or those who just want to understand the DS and Algo at application level.
It is a classic and available for free so one should definitely read it.
It could be a little hard, complex and lengthy for those who don't like in depth mathematics or those who just want to understand the DS and Algo at application level.
It is a classic and available for free so one should definitely read it.
A must have book for comp science. You can always refer. It is comprehensive then the art of computer programming book.
The title should almost be "introduction to algorithms that you have already been studying for years because you are a CS PhD candidate and/or a professor who tortures undergrads". A great study on algorithms, it's definitely not for the faint of heart, especially if you are like m and bought this for autodidactic purposes. I love the classic pseudo-code style, but I can see how people who did not grow up with direct Algol-variants can find it off-putting.
I gave it 4 stars instead of 5 because I ...more
I gave it 4 stars instead of 5 because I ...more
One of the best algorithm textbooks out there. Always my go-to book for algorithm reference.
This is an excellent book with introduction to algorithms. I would recommend reading this with the MIT OCW lectures by the same prof. who has written it. It becomes way more cooler to follow it along with the lectures. I have given 4 stars instead of 5 just because I find it to be lacking in the coding part. The algorithms have been analysed on the basis of pseudo-code with the implementation part being left. I do not think that it is a good way to explain. Any algorithms must be followed by at
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I remember I first read this book back at the beginning of 2000, since it was among the suggested titles for the Data Structures and Algorithms course at the University. Algorithms are one of those topics whose core did not significantly change in the last 30 years, despite the many publications that, every month, introduce new concepts and better solutions. This means that any book from the 80's is valuable, as long as the concepts it presents are concise and well explained. The importance of t
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Final exam: completed. This damn textbook: ignored from here on out.
Whenever I look at it now, all I can think of is Alex in Clockwork Orange: "Eggiwegs! I want to SMASH THEM!"
This book did not help me in my class, not one tiny bit. Like so many other math-oriented textbooks, there is literally not one damn thing in the book that is not teachable but the teaching moments are all lost in math gymnastics, over-explaining, under-explaining, etc. Please, just once, let someone with the teaching tal ...more
Whenever I look at it now, all I can think of is Alex in Clockwork Orange: "Eggiwegs! I want to SMASH THEM!"
This book did not help me in my class, not one tiny bit. Like so many other math-oriented textbooks, there is literally not one damn thing in the book that is not teachable but the teaching moments are all lost in math gymnastics, over-explaining, under-explaining, etc. Please, just once, let someone with the teaching tal ...more
Algorithms, which perform some sequence of mathematical operations, form the core of computer programming. Intended as a text for computer programming courses, especially undergraduate courses in data structures and graduate courses in algorithms, an “Introduction to Algorithms” provides a comprehensive overview, that will be appreciated technical professionals, as well.
The major topics presented are sorting, data structures, graph algorithms and a variety of selected topics. Computer programmer ...more
The major topics presented are sorting, data structures, graph algorithms and a variety of selected topics. Computer programmer ...more
Quite frankly, it's the standard for a reason. Sure, this book or that book, might be better at explaining one concept or another, but this explains every concept you need reasonably well... EVERY concept.
Google recommends it by name for their hiring practices, and I've kept it hand for years, and still refer to it 8 years after my 3rd computer degree.
If you don't find it useful, you're not doing computer science, you're a code monkey.
Google recommends it by name for their hiring practices, and I've kept it hand for years, and still refer to it 8 years after my 3rd computer degree.
If you don't find it useful, you're not doing computer science, you're a code monkey.
apparently the second most cited computer science book, and for good reason. (no, i don't know the top most cited, and no, its not knuth). but, what a vast and exciting array of pseudocode, algorithms, and their data structures! good largley for being rich and dense, but readable. doesn't waste space over explaining, but should be sufficient for most anyone with a active interest.
an interesting feature, with respect to the exercises and especially problems for each chapter, is that i think corme ...more
an interesting feature, with respect to the exercises and especially problems for each chapter, is that i think corme ...more
The organization is awesome.
The pseudo code is very helpful.
The problem is the formal style of writing.
It would be much better if the author can hide the formal forms of proof in the appendix and focus on the logic but not rigorous mathematical expression of how an algorithm works.
I also agree with some others that this book could have a stronger emphasis on data structure.
The pseudo code is very helpful.
The problem is the formal style of writing.
It would be much better if the author can hide the formal forms of proof in the appendix and focus on the logic but not rigorous mathematical expression of how an algorithm works.
I also agree with some others that this book could have a stronger emphasis on data structure.
Cormen et al. (CLRS) provie a very thorough treatment of computer algorithms as a whole and both standard algorithms as well as design principles. While I have only been exposed to the basics in CLRS, the rigor and breadth of the textbook provide great utility in algorithm design and understanding these processes.
This book, like several of the other college textbooks I have bought, has several really good chapters....but also many, many pages which I consider "bloat." I personally would greatly prefer an extraction of the key topics without hundreds of pages of "had to keep releasing new editions of this textbook every year so we had to add more chapters on increasingly wide ranging and arcane topics." Anyways, the core chapters are very nice - it also contains a lot of "review" e.g. discussion on mathem
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This is the BIBLE for anyone interested in understanding/designing/implementing computer algorithms. Is very extensive, and has nice exercises to supplement theory. Also, tough to truly master! Suffice to say I haven't finished it yet despite reading for about an year!
Mar 05, 2016
Emil Petersen
rated it
it was amazing
·
review of another edition
Shelves:
computer-science
This will probably be the longest and most comprehensive book of all the books that I am ever going to read. And it is incredible! Every page is so rich in information that it is simply not possible to read more than a few an hour and still maintaining comprehension. This is the first time I have read it - and I will most likely have to consult its pages many times over in the following years. Hopefully, with each iteration, I'll grasp some of the things which I definitely did not understand ful
...more
Its the bible of algorithms. There is not much else to say. If you want to get proficient in the world of algorithms or competitive programming this is the book for you.
Very thorough textbook on many areas of algorithms, data structures, and computational complexity, with rigorous proofs both on algorithm correctness and running time.
a definitive introduction to computer algorithms. valuable tool for any one attempting to transcend past a cursory understanding of the subject.
Clear and in-depth, this book is definitely a classic, one, that deserves to be on the shelf of every accomplished algorist.
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| about the book | 6 | 70 | May 01, 2015 06:29PM |
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Thomas H. Cormen is the co-author of Introduction to Algorithms, along with Charles Leiserson, Ron Rivest, and Cliff Stein. He is a Full Professor of computer science at Dartmouth College and currently Chair of the Dartmouth College Writing Program.
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