Statistical computing in C++ and R

Content: Introduction  Programming paradigms  Object-oriented programming  What lies ahead   Computer representation of numbers  Introduction  Storage in C++  Integers  Floating-point representation  Errors  Computing a sample variance  Storage in R  Exercises   A sketch of C++  Introduction  Variables and scope  Arithmetic and logical operators  Control structures  Using arrays and pointers  Functions  Classes, objects and methods  Miscellaneous topics  Matrix and vector classes  .Input, output and templates  .Function templates  .Exercises   Generation of pseudo-random numbers  Introduction  Congruential methods  Lehmer type generators in C++  An FMclass  Other generation methods  Nonuniform generation  Generating random normals  Generating random numbers in R  Using the R Standalone Math Library  .Exercises   Programming in R  Introduction  File input and output  Classes, methods and namespaces  Writing R functions  Avoiding loops in R  An example  Using C/C++ code in R  Exercises   Creating classes and methods in R  Introduction  Creating a new class  Generic methods  An example  Exercises   Numerical linear algebra  Introduction  Solving linear equations  Eigenvalues and eigenvectors  Singular value decomposition  Least squares  The Template Numerical Toolkit  Exercises   Numerical optimization  Introduction  Function objects  Golden section  Newton's method  Maximum likelihood  Random search  Exercises   Abstract data structures  Introduction  ADT dictionary  ADT priority queue  ADT ordered set  Pointer arithmetic, iterators and templates  Exercises   Data structures in C++  Introduction  Container basics  Vector and deque  The C++ list container  Queues  The map and set containers  Algorithm basics  Exercises   Parallel computing in C++ and R  Introduction  OpenMP  Basic MPI commands for C++  Parallel processing in R  Parallel random number generation  Exercises  A An introduction to Unix  A.Getting around and finding things  A.Seeing what's there  A.Creating and destroying things  A.Things that are running and how to stop them  B An introduction to R  B.R as a calculator  B.R as a graphics engine  B.R for statistical analysis  C C++ library extensions (TR)  C.Pseudo-random numbers  C.Hash tables  C.Tuples  D The Matrix and Vector classes  E The ranGen class  References  Index