Numerical recipes Book

This book rocks. The license does not. Can't fault the guy for that though. You can tell the author put a ton of time into distilling the information and presenting the incredibly complicated topics of numerical analysis in a way that can be immediately applicable to anyone who regularly has to solve complex numerical problems.

Even part-way into the first chapter, I learned something fundamental about C++ which for some reason I had never noticed (with 6 years of C++ and BSCS). How to detect a NaN value is as simple as "if (x!=x)". You'll have to read to learn more.

This is a must-have for the aspiring computer scientist seeking to expand their repertoire of problem-solving tools and techniques. From simple tips-and-tricks to supervised learning algorithms such as K-means clustering, this book will provide both adequate explanations as well as detailed implementations (you certainly want to write the code yourself *especially* for work, as the aforementioned license is comprehensive and limiting) which can provide you with solid foundations upon which to develop your own solutions.