Stochastic Tools in Mathematics and Science

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  • Stochastic Tools in Mathematics and Science Book Detail

  • Author : Alexandre J Chorin
  • Release Date : 2005-11-29
  • Publisher : Springer Science & Business Media
  • Genre : Mathematics
  • Pages : 164
  • ISBN 13 : 9780387280806
  • File Size : 48,48 MB

Stochastic Tools in Mathematics and Science by Alexandre J Chorin PDF Summary

Book Description: 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.

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Stochastic Tools in Mathematics and Science

Stochastic Tools in Mathematics and Science

File Size : 94,94 MB
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This introduction to probability-based modeling covers basic stochastic tools used in physics, chemistry, engineering and the life sciences. Topics covered incl

Stochastic Tools in Mathematics and Science

Stochastic Tools in Mathematics and Science

File Size : 39,39 MB
Total View : 6799 Views
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"Stochastic Tools in Mathematics and Science" covers basic stochastic tools used in physics, chemistry, engineering and the life sciences. The topics covered in

Stochastic Tools in Mathematics and Science

Stochastic Tools in Mathematics and Science

File Size : 10,10 MB
Total View : 6214 Views
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This introduction to probability-based modeling covers basic stochastic tools used in physics, chemistry, engineering and the life sciences. Topics covered incl

Stochastic Tools in Mathematics and Science

Stochastic Tools in Mathematics and Science

File Size : 40,40 MB
Total View : 8067 Views
DOWNLOAD

This introduction to probability-based modeling covers basic stochastic tools used in physics, chemistry, engineering and the life sciences. Topics covered incl