




Seamless R and C++ Integration with Rcpp (Use R!)
Rcpp is the glue that binds the power and versatility of R with the speed and efficiency of C++. With Rcpp, the transfer of data between R and C++ is nearly seamless, and highperformance statistical computing is finally accessible to most R users. Rcpp should be part of every statistician's toolbox.  Michael...     Sampling Algorithms (Springer Series in Statistics)
This book is based upon courses on sampling algorithms. After having used
scattered notes for several years, I have decided to completely rewrite the
material in a consistent way. The books of Brewer and Hanif (1983) and
H´ajek (1981) have been my works of reference. Brewer and Hanif (1983) have
drawn up an... 

  The Mathematica GuideBook for Programming
This comprehensive, detailed reference provides readers with both a working knowledge of Mathematica in general and a detailed knowledge of the key aspects needed to create the fastest, shortest, and most elegant implementations possible. It gives users a deeper understanding of Mathematica by instructive implementations, explanations, and...   C++ Toolkit for Engineers and Scientists
This concise guide covers the fundamental aspects of the numerical analysis, basing upon it the construction of its routines for solving nonlinear equations, linear and nonlinear systems of equations, and eigenvalue problems. Focusing on software development, this book emphasizes software tools, OOP techniques for handling vectors, polynomials,... 

S+Functional Data Analysis User's Guide
S+Functional Data Analysis is the first commercial object oriented package for exploring, modeling, and analyzing functional data. Functional data analysis (FDA) handles longitudinal data and treats each observation as a function of time (or other variable). The functions are related. The goal is to analyze a sample of functions instead of a...     


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