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Introduction to scientific programming and simulation using R /

Main Author: Jones, Owen
Other Authors: Maillardet, Robert., Robinson, Andrew
Format: Book
Language:English
Published: Boca Raton, FL : Chapman & Hall/CRC, 2009.
Subjects:
Science > Data processing
Science > Computer simulation.
Stochastic processes > Mathematical models
Numerical analysis > Data processing
Computer programming
R (Computer program language)
Table of Contents:
  • Pt. I. Programming
  • Setting Up
  • R as a Calculating Environment
  • Basic Programming
  • I/O: Input and Output
  • Programming with Functions
  • Pointers to Further Programming Techniques
  • Pt. II. Numerical Techniques
  • Numerical Accuracy and Program Efficiency
  • Root-Finding
  • Numerical Integration
  • Optimisation
  • Pt. III. Probability and Statistics
  • Probability
  • Random Variables
  • Discrete Random Variables
  • Continuous Random Variables
  • Parameter Estimation
  • Pt. IV. Simulation
  • Simulation
  • Monte-Carlo Integration
  • Variance Reduction
  • Case Studies
  • Student Projects
  • Glossary of R commands
  • Programs and functions developed in the text.

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