Everyone encounters statistics on a daily basis. They are used in proposals, reports, requests, and advertisements, among others, to support assertions, opinions, and theories. Unless you’re a trained statistician, it can be bewildering. What are the numbers really saying or not saying? Better Business Decisions from Data:...

This is a book about algorithms for performing arithmetic, and their implementation on modern computers. We are concerned with software more than hardware – we do not cover computer architecture or the design of computer hardware since good books are already available on these topics. Instead, we focus on algorithms for...

This O'Reilly Cookbook provides more than a hundred recipes to help programmers use regular expressions to manipulate text and crunch data. Every programmer needs a grasp of regular expressions, but their power doesn't come without problems -- even seasoned users often have trouble tackling performance issues. With recipes for popular...

". . . carefully structured with many detailed workedexamples."—The...

If you suffer from math anxiety, then sign up for private tutoring with Bob Miller! Do logarithms, sines, and cosines leave you in a cold sweat? Vectors and derivatives send stress signals to your brain? If so, then you are like the many thousands of students­­students of all ages,...

The 1947 paper by John von Neumann and Herman Goldstine, Numerical Inverting of Matrices of High Order (Bulletin of the AMS, Nov. 1947), is considered as the birth certificate of numerical analysis. Since its publication, the evolution of this domain has been enormous. This book is a unique collection of contributions by researchers who have...

This self-contained text offers an elementary introduction to partial differential equations (pdes), primarily focusing on linear equations, but also providing some perspective on nonlinear equations. The classical treatment is mathematically rigorous with a generally theoretical layout, though indications to some of the physical origins of pdes...

Suitable for a first year graduate course, this textbook unites the applications of numerical mathematics and scientific computing to the practice of chemical engineering. Written in a pedagogic style, the book describes basic linear and nonlinear algebric systems all the way through to stochastic methods, Bayesian statistics and parameter...