Introduction to Algorithms 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 s

Title: Introduction to Algorithms

Author: Thomas H. Cormen Charles E. Leiserson Ronald L. Rivest Clifford Stein

ISBN: 9780262032933

Page: 201

Format: Hardcover

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.

Introduction to Algorithms By Thomas H. Cormen Charles E. Leiserson Ronald L. Rivest Clifford Stein,

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Thomas H. Cormen Charles E. Leiserson Ronald L. Rivest Clifford Stein201Thomas H. Cormen Charles E. Leiserson Ronald L. Rivest Clifford Stein

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Posted by:Thomas H. Cormen Charles E. Leiserson Ronald L. Rivest Clifford Stein
Published :2019-08-04T07:26:26+00:00

About " Thomas H. Cormen Charles E. Leiserson Ronald L. Rivest Clifford Stein "

Thomas H. Cormen Charles E. Leiserson Ronald L. Rivest Clifford Stein

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.

553 Comments

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 a referenc [...]

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 rea [...]

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 Algorith [...]

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.

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 samples fo [...]

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 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 obvious correc [...]

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 programmers ca [...]

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 any 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 golden and t [...]

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.

Das Buch wurde uns zur Vertiefung zur Vorlesung Algorithmen und Datenstrukturen empfohlen Da es kein Skript im klassischen Sinn gab daf r eine Mailingliste und eingescannte Notizen des Dozenten , war das Buch somit meine Hauptinformationsquelle f r die Nachbereitung nach der Vorlesung Dabei hat sich das Buch als extrem hilfreich erwiesen, obwohl nat rlich nur ein Bruchteil des Buches berhaupt behandelt wurde, da das den Rahmen des 1 Semesters mit Sicherheit gesprengt h tte Dazu kommt noch, dass [...]

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 talent of Sal [...]

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 compact form, covering of topics and advanced or tricky algorithms and data structures However, when something isn t clear, the detailed walk throughs really help Also, the exercises provided are invaluable.I d say is [...]

Just a word of advice, this is NOT an introductory work It is commonly used in graduate level CS courses and the text focuses 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 focused on the practical and immediate design concerns than mathematical correctness.

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 Machine int [...]

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, but I di [...]

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.

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 fails [...]

CLRS is without doubt one of the best book when learning about Algorithms, sometimes called as the bible of algorithm However, while it is 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.

## About " Thomas H. Cormen Charles E. Leiserson Ronald L. Rivest Clifford Stein "

## Thomas H. Cormen Charles E. Leiserson Ronald L. Rivest Clifford Stein

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.