books about: algorithms
 
 



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Data Structures and Algorithm Analysis in C++ (3rd Edition)32 reviews
Mark Allen Weiss

Addison Wesley, 2006

This is a great book. Made for REAL programmers.
I had the luxury of having Dr. Weiss at Florida International University. He was a great professor and as a result I bought this book expecting a great book. The book turned out to be better than expected. If you hate math and cannot program in C++, then this is not the book for you. However, if you desire to learn data structures effectively then you have found the book you have been looking ...
  
  











  



  
Introduction to the Design and Analysis of Algorithms (2nd Edition)7 reviews
Anany V. Levitin

Addison Wesley, 2006

Great introductory text!
For those of you who've always wanted to throw the Cormen text out the window rejoice you finally can! This book is an excellent introduction to algorithms. Though not as thorough as the Cormen text it's orders of magnitude more readable!
  
  











  



  
The Algorithm Design Manual27 reviews
Steve S. Skiena

Springer, 1998

Accessible Guide to Algorithm Design
For those computer science students and programmers who are put off by the style of "Introduction to Algorithms" by Cormen et al., this book is a good alternative. Rather than just being a catalog of algorithms with code and little explanation, this book covers a much needed middle ground and contains a good deal about the analysis and design of algorithms in general along with discussions of ...
  
  











  



  
Data Structures and Algorithms in Java (2nd Edition)19 reviews
Robert Lafore

Sams, 2002

An Excellent Book
This is an excellent book for either a beginner or an intermediate developer. It explains various data structures clearly and gives detailed code sample, without nonsense. I really love it.
  
  











  



  
Data Structures and Algorithms in Java36 reviews
Michael T. Goodrich, Roberto Tamassia

Wiley, 2005

Very good textbook for learning Data Structures in Java
I strongly recommend this book as a textbook for learning how to program Data Structures in the Java Programming Language. It has very clear examples with full code, and very nice explanations that explanation an abstract subject. I learned Data Structures in C++ and this book made learning them in Java a piece of cake.
  
  











  



  
Introduction to Algorithms and Java166 reviews
Thomas H Cormen, Charles E Leiserson, ...

McGraw-Hill Science/Engineering/Math, 2003

The best textbook on algorithms, but it is not a programming book.
I used this book for a graduate level Algorithms course, and I really liked it. It is packed full of content on a wide range of topics. While this book does provide some high-level implementations of algorithms in pseudo-code, you will not find any examples of how to program algorithms in this book. That's really not what this book is meant for anyways. I found the reading to be easier than ...
  
  











  



  
Algorithm Design13 reviews
Jon Kleinberg, Éva Tardos

Addison Wesley, 2005

Awesome Book
Nicely written book. Easy to follow. The authors presented the algorithms very well. A minor complain would be that some of the proofs are too informal for my liking, and some proofs could be simpler. I would recommend this book to anyone who wants an introduction to the theory of computation. Another nice thing is the wide margin. This certainly encourages active learning.
  
  











  



  
Data Structures and Algorithm Analysis in Java (2nd Edition)17 reviews
Mark Allen Weiss

Addison Wesley, 2006

Knowledge is Power and Painful, too
Well, I have to admit I did not expect much from this book. But to my overly pleasant surprise, I found this volume quite useful both as a resource for algorhythms and data processing...Forget the Bible, this is the only book one truly needs. And it's fun to say "Java." Amen.
  
  











  



  
Algorithms10 reviews
Sanjoy Dasgupta, Christos H. Papadimitriou, ...

McGraw-Hill Science/Engineering/Math, 2006

My first choice as an instructor
I occasionally teach algorithms at CU Boulder to our undergraduates. This book accomplishes what it set out to do: provide a comprehensible (but not comprehensive) treatment of a core piece of Computer Science at an affordable cost. That we get one of the greatest researchers in the area (Papadimitriou) alongside two other distinguished authors is just icing on the cake. The first printing ...
  
  











  



  
An Introduction to Bioinformatics Algorithms (Computational Molecular Biology)7 reviews
Neil C. Jones, Pavel A. Pevzner

The MIT Press, 2004

A very good introduction!
This book gives a broad overview of algorithmic methods used in bioinformatics. It is well writen and the mathematics needed to understand is undergraduate level. Reading this book makes appetite to apply these methods to problems or to dig deeper in the corresponding method. Overall, a very good book, and due to its introductory level, one can recommend to all people interested in ...
  
  











  



  
Approximation Algorithms6 reviews
Vijay V. Vazirani

Springer, 2004

Very nice introduction
This is a quite nice book by an author who is well-known in the field. The book is not thematic, instead it presents certain problems in each chapter along with the main approximation algorithms and correctness proofs. Yet, each new concept is well introduced with the problems. For instance, the author presents LP-based techniques on the same problem (set cover) in the second part of the book. ...
  
  











  



  
Algorithms in C++, Parts 1-4: Fundamentals, Data Structure, Sorting, Searching (3rd Edition)22 reviews
Robert Sedgewick

Addison-Wesley Professional, 1998

Excellent, Exhaustive (but not rigorous)
If you're looking for an exhaustive, upto-date reference/textbook for fundamental, searching and sorting algorithms, then this is one of the very best available. Sedgewick has split his popular book into two volumes, with Graph algorithms being hifted to the second volume. Moreover, many advanced topics like computational geometry, fft, number theoretic algorithms etc, which were ...
  
  











  



  
Algorithm Design: Foundations, Analysis, and Internet Examples7 reviews
Michael Goodrich

Wiley, 2001

An excellent textbook
After researching a variety of alternatives, I settled upon using Algorithm Design by Goodrich and Tamassia to teach a junior-level algorithms course and the experience has been quite positive. While instructor material grows a bit sparse in the last half or third of the book, it's still quite useful. The slides are great and many of the problems have solutions available. Moreover, the ...
  
  











  



  
Data Structures and Algorithms in Java4 reviews
Peter Drake

Prentice Hall, 2005

very powerful Java for the structures and algorithms
Drake wastes little time in getting to his subject. You are expected to already know at least the rudiments of Java. Hopefully of version 1.5, which is the current major release of Java. The numerous code snippets in the text are drawn from this version. Because it has a very extensive set of native classes that implement many of the structures covered by the book. The text can be read at one ...
  
  











  



  
Operations Research: Applications and Algorithms (with CD-ROM and InfoTrac®)2 reviews
Wayne L. Winston

Duxbury Press, 2003

Complete Book for Hard OR
Operations Research is an emergent science!!! This book provides a complete approach to Hard OR, like modelling and all the required Mathematics... Winston is an old fox at this area. His books are previoulsy accredited!
  
  











  



  
Computer Algorithms: Introduction to Design and Analysis (3rd Edition)16 reviews
Sara Baase, Allen Van Gelder

Addison Wesley, 1999

This is not the Algorithms book you are looking for. Move along.
This book is in a word, bad. The explanations of the algorithms are decent in places but in some areas using the pseudo code provided you could not reproduce a working algorithm. What data structure they are using is sometimes difficult to determine. They also use function calls they do not explain. When reading the book they are constantly referring back to things they talked about chapters ...
  
  











  



  
Computer Algorithms12 reviews
Ellis Horowitz, Sartaj Sahni, ...

Silicon Press, 2007

A very good book!
I dont know why this books has such negative reviews. Its one of the only algo books that covers so many topics in detail. In most Indian universities, "Introduction To algorithms" By Comer(MIT press) is the standard book for undergrad and Knuths book is used for Grad. But the Comer book is too theoretical. It does not tell you how to think. The Horowitz/Sahni book gives you an idea of how to ...
  
  











  



  
Data Structures and Algorithms in C++12 reviews
Adam Drozdek

Course Technology, 2004

Absolutely the best C++ DS&A book
On my bookshelf right now I have 13 books on DS&A using C++. Every time I am in need of a new type of data structure or algorithm, and quickly scan through each of them to determine which seem to have the most relevant information, and also which have useable source-code. Drozdek's book is almost always the book I end up selecting to learn a new topic. Without a doubt, Drozdek's DS&A book is ...
  
  











  



  
Genetic Algorithms in Search, Optimization, and Machine Learning19 reviews
David E. Goldberg

Addison-Wesley Professional, 1989

Great start to your journey in Genetic Algorithms.
This is a great book to begin your journey on Genetic Algorithms (GA). The author is a pioneering authority on the subject and has explained the basics of a GA in a very gentle and easy to understand manner. The book has a great variety of specific but diverse examples, which may not be useful at first glance, but gives an insight to where all the technique has been applied! However, some ...
  
  











  



  
Randomized Algorithms7 reviews
Rajeev Motwani, Prabhakar Raghavan

Cambridge University Press, 1995

A subtle introduction to probablistic algoritms
This book is a jewel. It demonstrates how clever and beautifully simple probabilistic ideas can lead to the design of very efficient algorithms. I like its very verbal intuitive style, with proof strategies being always transparently explained. For computer scientists, this is *the* reference work in randomized algorithms, by now a major paradigm of algorithms design. For classical ...
  
  











  








   



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