Stochastic Tools in Mathematics and Science (2nd ed. 2009) (Surveys and Tutorials in the Applied Mathematical Sciences #1)
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- Synopsis
- This introduction to probability-based modeling covers basic stochastic tools used in physics, chemistry, engineering and the life sciences. Topics covered include conditional expectations, stochastic processes, Langevin equations, and Markov chain Monte Carlo algorithms. The applications include data assimilation, prediction from partial data, spectral analysis and turbulence. A special feature is the systematic analysis of memory effects.
- Copyright:
- 2009
Book Details
- Book Quality:
- Publisher Quality
- ISBN-13:
- 9781441910028
- Related ISBNs:
- 9781441910011
- Publisher:
- Springer New York
- Date of Addition:
- 02/21/21
- Copyrighted By:
- N/A
- Adult content:
- No
- Language:
- English
- Has Image Descriptions:
- No
- Categories:
- Nonfiction, Science, Technology, Earth Sciences, Mathematics and Statistics
- Submitted By:
- Bookshare Staff
- Usage Restrictions:
- This is a copyrighted book.
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