Introduction to Algorithms
Thomas H. Cormen Charles E. Leiserson Ronald L. Rivest Clifford Stein
✓ Introduction to Algorithms || ☆ PDF Read by ½ Thomas H. Cormen Charles E. Leiserson Ronald L. Rivest Clifford Stein
Oct 23, 2020 - 02:56 AM By Thomas H. Cormen Charles E. Leiserson Ronald L. Rivest Clifford Stein

This title covers a broad range of algorithms in depth, yet makes their design and analysis accessible to all levels of readers Each chapter is relatively self contained and can be used as a unit of study The algorithms are described in English and in a pseudocode designed to be readable by anyone who has done a little programming The explanations have been kept elementThis title covers a broad range of algorithms in depth, yet makes their design and analysis accessible to all levels of readers Each chapter is relatively self contained and can be used as a unit of study The algorithms are described in English and in a pseudocode designed to be readable by anyone who has done a little programming The explanations have been kept elementary without sacrificing depth of coverage or mathematical rigor.
  • Title: Introduction to Algorithms
  • Author: Thomas H. Cormen Charles E. Leiserson Ronald L. Rivest Clifford Stein
  • ISBN: 9780262032933
  • Page: 491
  • Format: Hardcover

Comments

Shawn Morel Oct 23, 2020 - 02:56 AM
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: /book/show/13It 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 moments.It fails at being [...]
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Khaled Alhourani Oct 23, 2020 - 02:56 AM
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 [...]
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Alex Oct 23, 2020 - 02:56 AM
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 [...]
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Arif Oct 23, 2020 - 02:56 AM
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.
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Nick Black Oct 23, 2020 - 02:56 AM
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 saidis 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 code sam [...]
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Saharvetes Oct 23, 2020 - 02:56 AM
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 [...]
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Blog on Books Oct 23, 2020 - 02:56 AM
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 progra [...]
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Josh Davis Oct 23, 2020 - 02:56 AM
I've been reading CLRS on and off for years. I read bits at a time and have been picking and choosing chapters to read and reread. I must say that without a doubt this is the best textbook I have ever read. I could not recommend it anymore for anyone that wishes to learn about data structures and algorithms well. The authors never skimp on the math and that's my favorite part of this book. Almost every idea that is presented is proven with a thorough proof. All of the pseudocode is completely go [...]
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Brad Oct 23, 2020 - 02:56 AM
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.
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Sheikh Oct 23, 2020 - 02:56 AM
This is an excellent book for software engineers and students of computer science and engineering who want to have a good understanding of algorithms.
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Joke Oct 23, 2020 - 02:56 AM
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 komm [...]
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Erik Oct 23, 2020 - 02:56 AM
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 [...]
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Dmitry Kuzmenko Oct 23, 2020 - 02:56 AM
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 [...]
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Libertas Oct 23, 2020 - 02:56 AM
Just a word of advice, this is NOT an introductory work. It is commonly used in graduate level CS courses and the text focuses more heavily on the math side than the CS side. That's not meant to demean the quality of this book. I highly recommend undergrad CS students / folks preparing for interviews read this at farther along point in your education and instead start with the Algorithm Design Manual, which is more focused on the practical and immediate design concerns than mathematical correctn [...]
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Koen Crolla Oct 23, 2020 - 02:56 AM
Some people just really enjoy typing, I guess. Not so much communicating, though: I was already pretty familiar with almost all of the algorithms and data structures discussed (the bit on computational geometry was the only thing that was completely new), but I can honestly say that if Introduction to Algorithms had been my first textbook, I wouldn't be.(Also, I wish editors would stop writers when they try to use 1-indexed arrays in their books. Or, for that matter, pseudocode in general. Machi [...]
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Mohammad Samiul Islam Oct 23, 2020 - 02:56 AM
This books is amazing. It's a bit hard for beginners, but then again, it's one of those books which you always have to come back to. Each time you come back, you learn something new. The exercises themselves have tons of stuff hidden in them. You need to be patient and learn slowly. Don't try to gobble everything up.If you let go of your fear, and actually make an effort to learn something from it, you can learn loads. I learned Network Flow algorithm by reading this book. It took me few days, b [...]
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Harshil Lodhi Oct 23, 2020 - 02:56 AM
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.
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Kaung Oct 23, 2020 - 02:56 AM
One of the best algorithm textbooks out there. Always my go-to book for algorithm reference.
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Michael Oct 23, 2020 - 02:56 AM
This is one of the worst college books I have ever used. The examples in the book are severely lacking the needed information to answer the questions in which you are forced to use outside resources aka other Data Structure books to find the info to solve their problems. It is amazing that this is an MIT book because it DOES NOT MEET THEIR STANDARD. The book is unorganized and bounces around like the authors have ADHD. The text is covering an extremely abstract computer algorithm theories and fa [...]
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Endilie Yacop Sucipto Oct 23, 2020 - 02:56 AM
CLRS is without doubt one of the best book when learning about Algorithms, sometimes called as the "bible" of algorithm. However, while it is more of a reference book with very lengthy pages, it lacks some in-depth explanation on certain parts. I guess that's fine because it is indeed an "introductory" book.
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Adeel Ahmed Oct 23, 2020 - 02:56 AM
great book for learning algorithms.
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Fatima Oct 23, 2020 - 02:56 AM
The classical reference on Algorithms. What more can I say?
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Krishanthy Oct 23, 2020 - 02:56 AM
The best book to understand algorithm topics which a student want to study deeply, better for the reader of advanced algorithms.
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Sai Reddy Oct 23, 2020 - 02:56 AM
Very well designed book on algorithms and datastructures and other theoretical concepts in designing algorithms.
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Akinouta Oct 23, 2020 - 02:56 AM
Logical, clear and succinct, very well written.
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Stephen Oct 23, 2020 - 02:56 AM
A little dense at first, but overall an excellent book for explaining common algorithms.
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Introduction to Algorithms By Thomas H. Cormen Charles E. Leiserson Ronald L. Rivest Clifford Stein This title covers a broad range of algorithms in depth, yet makes their design and analysis accessible to all levels of readers Each chapter is relatively self contained and can be used as a unit of study The algorithms are described in English and in a pseudocode designed to be readable by anyone who has done a little programming The explanations have been kept elementThis title covers a broad range of algorithms in depth, yet makes their design and analysis accessible to all levels of readers Each chapter is relatively self contained and can be used as a unit of study The algorithms are described in English and in a pseudocode designed to be readable by anyone who has done a little programming The explanations have been kept elementary without sacrificing depth of coverage or mathematical rigor.

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  • ✓ Introduction to Algorithms || ☆ PDF Read by ½ Thomas H. Cormen Charles E. Leiserson Ronald L. Rivest Clifford Stein
    491 Thomas H. Cormen Charles E. Leiserson Ronald L. Rivest Clifford Stein
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    Published :2020-07-13T02:56:08+00:00