Forest Analytics with R: An Introduction (Use R!)
R is an open-source and free software environment for statistical computing
and graphics. R compiles and runs on a wide variety of UNIX platforms
(e.g., GNU/Linux and FreeBSD), Windows, and Mac OSX. Since the late
1990s, R has been developed by hundreds of contributors and new capabilities
are added each month....
Solutions Manual to accompany Nonlinear Programming: Theory and Algorithms
As the Solutions Manual, this book is meant to accompany the main title, Nonlinear Programming: Theory and Algorithms, Third Edition
. This book presents recent developments of key topics in nonlinear programming (NLP) using a logical and self-contained format. The volume is divided into three sections: convex analysis,...
Practical Data Mining
Used by corporations, industry, and government to inform and fuel everything from focused advertising to homeland security, data mining can be a very useful tool across a wide range of applications. Unfortunately, most books on the subject are designed for the computer scientist and statistical illuminati and leave the reader largely...
Swift 4 Recipes: Hundreds of Useful Hand-picked Code Snippets
Get the most out of Swift 4 with this carefully compiled collection of select code snippets designed to solve everyday coding problems. This book features the Apress easy-to-use recipe format, with step-by-step instructions, and a no-fuss approach.
You'll explore a wide range of topics, all neatly organized according to...
Evolutionary Optimization Algorithms
A clear and lucid bottom-up approach to the basic principles of evolutionary algorithms
Evolutionary algorithms (EAs) are a type of artificial intelligence. EAs are motivated by optimization processes that we observe in nature, such as natural selection, species migration, bird swarms, human culture, and ant...
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