
This is about the nature of mathematical modelling, and the kinds of techniques that are useful for modelling. It is oriented towards simple efficient implementations on computers.
Of course you won't learn enough about any topic to be able to actually tackle any but the most trivial of problems, but you will come away with a good understanding of which technique you should use for which kind of problem and have a good enough of a basis to be able to understand the more advanced books on the given topics. Each chapter also ends with a recommendation of 3-4 books which you can check out if you want to dig deeper into that particular topic.
Reminds me of one of my favorite books ever, Gershenfeld's "The Nature of Mathematical Modeling".
http://www.amazon.com/Nature-Mathematical-Modeling-Neil-Gers...
I have a math degree, and I would like to move into a more analytical role, where I use programming to find the answers to complicated questions. What books and online resources (iTunes courses, web sites, etc) are most useful for learning more about how to do this? Right now I'm looking at "the nature of mathematical modeling" by Neil Gershenfeld, and Numerical Recipes in C. Any other advice?