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Introduction to Scientific Programming and Simulation Using R

Chapman & Hall/CRC The R Series
Introduction to Scientific Programming and Simulation Using R
Introduction to Scientific Programming and Simulation Using R
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Learn How to Program Stochastic Models

Highly recommended, the best-selling first edition of Introduction to Scientific Programming and Simulation Using R was lauded as an excellent, easy-to-read introduction with extensive examples and exercises. This second edition continues to introduce scientific programming and stochastic modelling in a clear, practical, and thorough way. Readers learn programming by experimenting with the provided R code and data.

The book¿s four parts teach:

  • Core knowledge of R and programming concepts
  • How to think about mathematics from a numerical point of view, including the application of these concepts to root finding, numerical integration, and optimisation
  • Essentials of probability, random variables, and expectation required to understand simulation
  • Stochastic modelling and simulation, including random number generation and Monte Carlo integration