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Introduction to scientific programming and simulation using R / by Owen Jones, Robert Maillardet and Andrew Robinson.
- Format:
- Book
- Author/Creator:
- Jones, Owen, author.
- Maillardet, Robert, author.
- Robinson, Andrew, author.
- Series:
- Chapman & Hall/CRC the R series (CRC Press)
- The R series
- Language:
- English
- Subjects (All):
- Science--Data processing.
- Science.
- Science--Computer simulation.
- Stochastic processes--Mathematical models.
- Stochastic processes.
- Numerical analysis--Data processing.
- Numerical analysis.
- Computer programming.
- Physical Description:
- 1 online resource (599 p.)
- Edition:
- 2nd ed.
- Place of Publication:
- Boca Raton, FL : Chapman and Hall/CRC, an imprint of Taylor and Francis, 2014.
- Language Note:
- English
- Summary:
- 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.
- Contents:
- Front Cover; Chapman & Hall/CRCThe R Series; Published Titles; Contents; Preface; How to use this book; PART I: Programming; CHAPTER 1: Setting up; CHAPTER 2: R as a calculating environment; CHAPTER 3: Basic programming; CHAPTER 4: I/O: Input and output; CHAPTER 5: Programming with functions; CHAPTER 6: Sophisticated data structures; CHAPTER 7: Better graphics; CHAPTER 8: Pointers to further programming techniques; PART II: Numerical techniques; CHAPTER 9: Numerical accuracy and program efficiency; CHAPTER 10: Root-finding; CHAPTER 11: Numerical integration; CHAPTER 12: Optimisation
- CHAPTER 13: Systems of ordinary differential equationsPART III: Probability and statistics; CHAPTER 14: Probability; CHAPTER 15: Random variables; CHAPTER 16: Discrete random variables; CHAPTER 17: Continuous random variables; CHAPTER 18: Parameter estimation; CHAPTER 19: Markov chains; PART IV: Simulation; CHAPTER 20: Simulation; CHAPTER 21: Monte Carlo integration; CHAPTER 22: Variance reduction; CHAPTER 23: Case studies; CHAPTER 24: Student projects; Glossary of R commands; Back Cover
- Notes:
- "A Chapman & Hall book."
- Description based on print version record.
- ISBN:
- 9781040079355
- 1040079350
- 9780429196195
- 0429196199
- 9781466570016
- 1466570016
- OCLC:
- 915143471
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