Introduction to Scientific Programming and Simulation Using R

This work offers a primer on scientific programming, stochastic modeling, and simulation using R. An introductory text, this book surveys a range of useful mathematical tools that either require or are illuminated by scientific computation. The focus is on the use of R, an open-source programming en [...]
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This work offers a primer on scientific programming, stochastic modeling, and simulation using R. An introductory text, this book surveys a range of useful mathematical tools that either require or are illuminated by scientific computation. The focus is on the use of R, an open-source programming environment. Input and output, functions, data structures, and flow programming are covered, as are numerical techniques, probability, simulation, and stochastic modeling. Where appropriate, formal derivations are provided. The text is supplemented with simple yet relevant examples that allow students to see how the tools can be applied to contemporary problems.