algorithms

The algorithm descriptions are, for the most part, reasonably easy to follow. The diagrams help to give you a very intuitive "feel" of how each algorithm works, and how each compares to other similar algorithms. This is, without doubt, my favorite aspect of this book. Another thing I like is that it didn't read like your standard textbook; it was much less formal, which I found a refreshing change (I read it in college). On the minus side, the code was pretty much C plus classes. Switching from C to C++ really didn't add any value. The author chose to write the code to be as small and concise as reasonable in order to convey the structure of the algorithm in question. I think that he went too far towards this goal; the variable names are are far too short, leading to confusion in complicated algorithms, and very few in-line comments are used.

Bottom line: while it certainly is not a model of how to write well-designed C++, it accomplishes its goal very well: describing, comparing, and contrasting basic to intermediate frequently used algorithms in a very intuitive way.

This is easily one of the leading texts on data structures and algorithms - a third edition has already been released (however, that is practically a new book ,so read on :-)...). Sedgewick is a student of the great Donald Knuth, and a leading researcher and authority in the field of Algorithmics.

'Pound for pound', this might be as good as Cormen et al's classic, which is the undisputed leader among introductory books on algorithms. However, this has two advantages over that book :

(1)Size : Weighing in at a lean 656 pages, this is almost 40% smaller than Cormen's classic, while providing approximately the same breadth. However, Cormen has the edge in depth, especially rigorous analysis of algorithms' performance.

(2)'Real' code : This book has code snippets in C++, as opposed to Cormen which has it in pseudocode.However, the code is far from 'ready to run' - it's just enough to give you an idea how to go about building your own code.

Another plus point is short and crisp chapters which can be easily 'digested' - average chapter size is only about 14 pages.

This book really covers a lot of topics - sorting, searching, parsing, computational geometry, graphs, fast fourier transforms, mathematical algorithms and much,much more.

It is written in a very readable style, and the illustrations are a big help, perhaps the best in a book of this kind. It would've benefitted from a few more exercises, brief solutions, and a little more rigour in performance analysis.

The code is excellent at one level, but it's actually excellent C code masquerading as C++ code, i believe.

If you have no problem with C, you should perhaps go for the C version of this book - the C code is reminiscent of Kernighan & Ritchie. Beautiful, elegant C code !!

If it's good C++ code that you're after, perhaps Mark Allen Weiss's book or Heileman's book might be a better choice. Also, the new (3rd) edition of this book has much better C++ code.

If you want more depth and rigour, and are willing to work a little harder, then Cormen's the way to go.

However, if you want a bit of everything in one compact book, then this is the best choice.

(Sedgewick's come up with a recent revision, but it's spread over several volumes - not sure whether that's a better choice, however the C++ code seems much better in that, with C++ consultancy by Chris Van Wyk, another student of the great Don Knuth)

I had to teach this course and must see it is the pick of the books I have seen on this subject though it is far from ideal. Why can't these people use meaningful variable names and comment the code. Is it the authors intent to teach bad programming practice.