Statistical Computing in C++ and R
eBook - PDF

Statistical Computing in C++ and R

  1. 556 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Statistical Computing in C++ and R

About this book

Parallel processing can be ideally suited for the solving of more complex problems in statistical computing. This book discusses code development in C++ and R, before going beyond to look at the valuable use of these two languages in unison. It covers linear equation solution with regression and linear models motivation, optimization with maximum likelihood and nonlinear least squares motivation, and random number generation. While the text does require a working knowledge of basic concepts in statistics and experience in programming, it does not require knowledge specific to C++ or R.

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Yes, you can access Statistical Computing in C++ and R by Randall L. Eubank,Ana Kupresanin in PDF and/or ePUB format, as well as other popular books in Computer Science & Computer Science General. We have over one million books available in our catalogue for you to explore.

Information

Table of contents

  1. Front Cover
  2. Dedication
  3. Contents
  4. Preface
  5. List of Algorithms
  6. 1. Introduction
  7. 2. Computer representation of numbers
  8. 3. A sketch of C++
  9. 4. Generation of pseudo-random numbers
  10. 5. Programming in R
  11. 6. Creating classes and methods in R
  12. 7. Numerical linear algebra
  13. 8. Numerical optimization
  14. 9. Abstract data structures
  15. 10. Data structures in C++
  16. 11. Parallel computing in C++ and R
  17. A. An introduction to Unix
  18. B. An introduction to R
  19. C. C++ library extensions (TR1)
  20. D. The Matrix and Vector classes
  21. E. The ranGen class
  22. References