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First Steps in Random Walks: From Tools to Applications by J. Klafter, I. M. Sokolov
- First Steps in Random Walks: From Tools to Applications
- J. Klafter, I. M. Sokolov
- Page: 160
- Format: pdf, ePub, mobi, fb2
- ISBN: 9780198754091
- Publisher: Oxford University Press
Download First Steps in Random Walks: From Tools to Applications
Pdb format ebook download First Steps in Random Walks: From Tools to Applications 9780198754091
The name "random walk" for a problem of a displacement of a point in a sequence of independent random steps was coined by Karl Pearson in 1905 in a question posed to readers of "Nature". The same year, a similar problem was formulated by Albert Einstein in one of his Annus Mirabilis works. Even earlier such a problem was posed by Louis Bachelier in his thesis devoted to the theory of financial speculations in 1900. Nowadays the theory of random walks has proved useful in physics and chemistry (diffusion, reactions, mixing flows), economics, biology (from animal spread to motion of subcellular structures) and in many other disciplines. The random walk approach serves not only as a model of simple diffusion but of many complex sub- and super-diffusive transport processes as well. This book discusses the main variants of random walks and gives the most important mathematical tools for their theoretical description.
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This kind of random walks can be described in terms of a probability I. M. First Steps in Random Walks: From Tools to Applications, (Oxford
Random Walks on Graphs: A Survey
applications of random walks, in particular to the problem of sampling. 0. very fruitful and provide both tools for the study and opportunities for applications of random to reach first n−1 nodes, which takes f(n−1) steps on the average. At this
First Steps in Random Walks: From Tools to Applications (Paperback)
The name "random walk" for a problem of a displacement of a point in a sequence of independent random steps was coined by Karl Pearson in 1905 in a
Jossi Klafter and Igor M. Sokolov: First Steps in Random Walks
Review commissioned by: Mathematical Reviews. Jossi Klafter and Igor M. Sokolov: First Steps in Random Walks. From. Tools to Applications. Oxford University
Notes on the random walk model (pdf) - Duke University
is equivalent to saying that the first difference of the variable is a series to For the random-walk-with-drift model, the k-step-ahead forecast Carlo simulation with tools such as Crystal Ball, almost always have However, the random walk model also crops up in many non-financial applications, and you.
Soft Matter / Biological Physics - Browse - Oxford Scholarship
First Steps in Random Walks: From Tools to Applications This book, the first of a four-part series on fluid dynamics, consists of four chapters
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