Introduction to scientific programming and simulation using R / Owen Jones, Robert Maillardet and Andrew Robinson.
Material type:
TextSeries: Chapman & Hall/CRC the R seriesPublication details: Boca Raton : CRC Press, c2014.Edition: 2nd edDescription: xxiv, 582 p. : illustrations ; 24 cmISBN: - 9781466569997
- Scientific programming and simulation using R
- 502.8553 23 J78
| Item type | Current library | Call number | Status | Date due | Barcode | Item holds | |
|---|---|---|---|---|---|---|---|
| Books | ISI Library, Kolkata | 502.8553 J78 (Browse shelf(Opens below)) | Available | 136064 |
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| 502.825 W344 Principles and practice of electrton microscopy | 502.855133 J78 Introduction to scientific programming and simulation using R / | 502.8553 D547 Mathematica in the laboratory | 502.8553 J78 Introduction to scientific programming and simulation using R / | 503 As832 Words of science and the history behind them | 503 B489 N88 বিজ্ঞান কোষ | 503 B489 N88 বিজ্ঞান কোষ |
Includes index.
1. Setting up--
2. R as a calculating environment--
3. Basic programming--
4. I/O: Input and output--
5. Programming with functions--
6. Sophisticated data structures--
7. Better graphics--
8. Pointers to further programming techniques--
9. Numerical accuracy and program efficiency--
10. Root-finding--
11. Numerical integration--
12. Optimization--
13. Systems of ordinary differential equations--
14. Probability--
15. Random variables--
16. Discrete random variables--
17. Continuous random variables--
18. Parameter estimation--
19. Markov chains--
20. Simulation--
21. Monte Carlo integration--
22. Variance reduction--
23. Case studies--
24. Student projects--
Glossary of R commands--
Programs and functions developed in the text--
Index.
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.
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