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Introduction to scientific programming and simulation using R / Owen Jones, Robert Maillardet, and Andrew Robinson.

By: Boca Raton : Chapman & Hall CRC, 2014Edition: 2nd edContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 1466569999
  • 9781466569997
Contents:
I. Programming. Setting up -- R as a calculating environment -- Basic programming -- I/O: input and output -- Programming with functions -- Sophisticated data structures -- Better graphics -- Pointers to further programming techniques -- II. Numerical techniques. Numerical accuracy and program efficiency -- Root-finding -- Numerical integration -- Optimisation -- Systems of ordinary differential equations -- III. Probability and statistics. Probability -- Random variables-- Discrete random variables -- Continuous random variables -- Parameter estimation -- Markov chains -- IV. Simulation -- Monte-Carlo integration -- Variance reduction -- Cases studies -- Student projects -- Glossary of R commands -- Programs and functions developed in the text.
Holdings
Item type Current library Call number Copy number Status Date due Barcode Item holds
BOOK BOOK NCAR Library Mesa Lab Q183.9 .J66 2014 1 Available 50583020001875
Total holds: 0

"This second edition continues to introduce scientific programming and stochastic modelling in a clear, practical, and thorough way. Readers lean programming by experimenting with the provided R code and data." -- Back cover.

I. Programming. Setting up -- R as a calculating environment -- Basic programming -- I/O: input and output -- Programming with functions -- Sophisticated data structures -- Better graphics -- Pointers to further programming techniques -- II. Numerical techniques. Numerical accuracy and program efficiency -- Root-finding -- Numerical integration -- Optimisation -- Systems of ordinary differential equations -- III. Probability and statistics. Probability -- Random variables-- Discrete random variables -- Continuous random variables -- Parameter estimation -- Markov chains -- IV. Simulation -- Monte-Carlo integration -- Variance reduction -- Cases studies -- Student projects -- Glossary of R commands -- Programs and functions developed in the text.

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