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Advanced Algorithms for Neural Networks A C++ Sourcebook by T. Masters [Recommended]

Rob Henley writes:
In summary this is an excellent book if you would like to experiment with neural networks and it also provides a good introduction to the subject...

Algorithmic Beauty Of Plants, The by Prusinkiewicz & [Recommended]

Alex Fiennes writes:
However I think that this book is essential reading for anybody interested in computer graphics, fractals and "artificial life".

Algorithms and Data Structures in C++ by Leendert Ammeraal [Recommended with Reservations]

Alec Ross writes:
In summary then, this is a very good treatment, well worth the price--but add your own thoughts on the use of exceptions and STL if you are going to use these techniques in your applications.

Algorithms in C++ by Robert Sedgewick [Highly Recommended]

Dave Rutlidge writes:
Overall I consider this to be an excellent book. The author clearly knows his subject, and presents it with an infectious enthusiasm.

Algorithms in C by Robert Sedgewick [Recommended]

Francis Glassborow writes:
If you want to program seriously, Algorithms in C belongs on your desk, if you need to program numerically then so should Numerical Recipes in C.

Art of Computer Programming vol 1 - 3ed Fundamental Algorithms, The by D Knuth [Highly Recommended]

Francis Glassborow writes:
While the material in these books is at a fundamental theoretical level no self-respecting programmer should be unaware of it. Some of it may be hard work but if more practitioners were familiar with Knuth's work we would have a better overall quality in our software.

Art of Computer Programming vol 2 - 3ed Seminumerical Algorithms, The by D Knuth [Highly Recommended]

Francis Glassborow writes:
While the material in these books is at a fundamental theoretical level no self-respecting programmer should be unaware of it. Some of it may be hard work but if more practitioners were familiar with Knuth's work we would have a better overall quality in our software.

C Mathematical Function Handbook by Louis Baker [Recommended with Reservations]

Francis Glassborow writes:
If you work in the area of numerically intensive programming you should have a copy of this book on your shelf.

C++ Components and Algorithms by Scott Robert Ladd [Recommended]

Francis Glassborow writes:
I think many C++ programmers could gain quite a lot of benefit by actually working through this book not just browsing. I know I did.

C++ Power Paradigms by Mark Watson [Highly Recommended]

Francis Glassborow writes:
If you are serious about programming in C++, buy this book, read it, do a code inspection and at least one maintenance pass over the provided code. The end result will be that you have widened your programming expertise and will have some fair tools.

Calendrical Calculations by Nachum Dershowitz & Edward M Reingold [Recommended]

Francis Glassborow writes:
In conclusion, I think this book deserves to be widely read even if the Lisp content is heavy going. Good selective reading style will allow you to enjoy the information in this book while skipping the Lisp. You can hone your programming skills by implementing various calendars in the language of your choice.

Data Structures and Algorithm Analysis (2nd ed) by M Weiss [Recommended]

Francis Glassborow writes:
Many programmers fail to appreciate how important correct algorithm selection is to efficient programming.

Data Structures and Algorithm Analysis in C by Mark Allen Weiss [Recommended]

Graham Kendall writes:
If you are looking for a book covering algorithms and their analysis then this is as good as any I've seen (and I've seen a lot) and it does cover a lot of ground.

Data Structures and Algorithms in Java by M Goodrich & R Tamassia [Recommended]

Burkhard Kloss writes:
Every now and then you come across a book which is a pleasure to review and this is one of them.
...Should you buy this book? If you are a University lecturer looking for a text to teach Data Structures and Algorithms and the course contains Java, then this book is almost certainly for you.

Data Structures, Algorithms & Software Principles in C by Thomas A Standish [Recommended]

Francis Glassborow writes:
Which ever one you read, you will be a better programmer for having read it...

Data Structures, Algorithms and Performance by Derick Wood [Recommended]

Francis Glassborow writes:
The book is excellent value for money (particularly as it is in hardcover) but not for the dilettante.

Design and Analysis of Algorithms by Jeffrey D Smith [Recommended]

Francis Glassborow writes:
I think this is one of the best tutorial books on algorithms that I have had over my desk.

Foundations of Genetic Algorithms 5 by Wolfgang Banzahf & Colin Reeves [Highly Recommended]

Brett Fishburne writes:
I highly recommend this book for what it is and bearing in mind that this is not a book for a general audience.

Genetic Algorithms and Grouping Problems by Emanuel Falkenauer [Recommended]

Graham Kendall writes:
I can whole-heatedly recommend this book to anybody who has an interest in this type of optimisation technique.

Intelligent Hybrid Systems by Suran Goonatilake & Sukhdev Khebbal [Recommended]

Ruben Galea writes:
Although this book might be difficult to understand by the novice, it provides an in-depth view in this rapidly expanding area.

Intermediate Problem Solving and Data Structures - Walls and Mirrors (Second edition) by Helman & Veroff & Carrano [Recommended]

Stormin' Norman aka Russell Lewis writes:
Walls and Mirrors is a sound text that would serve student and professional as a course and long term reference book.

Introduction to Computing and Algorithms by Russell Shackelford [Highly Recommended]

Brian Bramer writes:
A well-written book which would give a solid foundation in Computing Science and Software Engineering courses

Mastering Algorithms with Perl by Jon Orwant [Recommended]

Jon Wilks writes:
The book is concise and at the standard you would expect from O'Reilly

Numerical Recipes in C (Second Edition) by W Press & [Recommended]

Francis Glassborow writes:
If numerical algorithms play any part in your work you will go and buy this book even if you already have the first edition.

Numerical Recipes in C by William H. Press & Brian P. Flannery & Saul A. Teukolsky & William T. Vetterling [Recommended]

Francis Glassborow writes:
If you want to program seriously, Algorithms in C belongs on your desk, if you need to program numerically then so should Numerical Recipes in C.

Paradigms for Fast Parallel Approximability by J Diaz [Recommended]

Brian Bramer writes:
Required reading for researchers working on parallel algorithms and of interest to anyone working in the area of parallel computation in general.

Primes and Programming by Peter Giblin [Recommended]

Francis Glassborow writes:
If you are curious about this subject and mechanisms that are used for prime number searches this is the book for you.

Programming Abstractions in C by Eric S. Roberts [Recommended]

Mark Batty writes:
In summary I feel many programmers/engineers who have restricted algorithm/abstraction knowledge would learn a great deal from this book.

Programming Pearls 2nd ed. by Jon Bentley [Highly Recommended]

Francis Glassborow writes:
if you do not have a copy of the first edition, buy this one and read it. If you already have the earlier edition re-read that.

Programming Pearls by Jon Bentley [Highly Recommended]

Francis Glassborow writes:
Like Brooks' The Mythical Man Month and the first three volumes of Knuth's The Art of Computer Programming it has a place on every programmers bookshelf.

Projects in Scientific Computation by R E Crandall [Recommended]

Francis Glassborow writes:
Were I still regularly teaching, I would want this book on my shelves to trawl for things to inspire my students.

Teach Yourself Data Structures & Algorithms in 24 Hours by Robert Lafore [Recommended]

James Gordon writes:
I suggest that you put aside prejudice and check out books of this kind.

Please note that opinions are those of the individual reviewers.