Reader reviews

Genuinely excellent — I finished it in a week and immediately started again.

This is the third book I have read on algorithms this year, and it is comfortably the best of them. The balance between theory and practice is well judged; neither side dominates. The early chapters move quickly through material I already knew, but the later sections were genuinely new to me. This is the book I wish had existed when I started working with algorithms.

Good in places. I would borrow it before buying if you can.

I had been on the fence about this one for a while, and I should have bought it sooner. The examples are small enough to type out and experiment with, which is exactly what I want from a book like this. The explanations are careful without being condescending, which is a difficult balance to strike. The progression from chapter to chapter is well thought out; nothing feels out of order. Useful as a reference, less so as a straight read from cover to cover.

Finally, a book that treats graphics with the care it deserves.

I read this over a couple of weekends alongside a small side project, which turned out to be the ideal way to approach it. The exercises at the end of each chapter are worth doing — they caught a few misconceptions I did not know I had. The exercises at the end of each chapter are worth doing — they caught a few misconceptions I did not know I had. One of those books that pays for itself within the first few chapters. Highly recommended.

Almost excellent. A second edition could easily push it to five stars.

There is a particular kind of technical book that is dense without being difficult, and this is one of them. The code samples assume a particular environment, which took a bit of fiddling to get running properly. The book rewards careful reading. Skimming it would be a mistake. Solid, and I would buy another book from this author without hesitation.

The clearest explanation of graphics I have come across.

I read this over a couple of weekends alongside a small side project, which turned out to be the ideal way to approach it. The code samples assume a particular environment, which took a bit of fiddling to get running properly. I found myself making notes in the margins, which is always a good sign. If you have the prerequisites, this is an easy recommendation. I will be keeping it on my desk rather than the shelf.

Strong content, uneven pacing. I would still recommend it.

This is the third book I have read on gpu computing this year, and it is comfortably the best of them. I appreciated the honesty about what the book does not cover — it saved me from expecting things that were not there. The index and cross-references are surprisingly good, which matters for a book I will come back to. The balance between theory and practice is well judged; neither side dominates. Good value for the price and worth the time it takes to work through properly.