556 Pages
28 B/W Illustrations
by
Chapman & Hall
556 Pages
28 B/W Illustrations
by
Chapman & Hall
556 Pages
by
Chapman & Hall
Also available as eBook on:
With the advancement of statistical methodology inextricably linked to the use of computers, new methodological ideas must be translated into usable code and then numerically evaluated relative to competing procedures. In response to this, Statistical Computing in C++ and R concentrates on the writing of code rather than the development and study of numerical algorithms per se. The book... Read more
Introduction. Computer Representation of Numbers. A Sketch of C++. Generation of Pseudo-Random Numbers. Programming in R. Creating Classes and Methods in R. Numerical Linear Algebra. Numerical Optimization. Abstract Data Structures. Data Structures in C++. Parallel Computing in C++ and R. An Introduction to Unix. An Introduction to R. C++ Library Extensions (TR1). The Matrix and Vector Classes. The ranGen Class. References. Index.
Biography
Randall L. Eubank, Ana Kupresanin
