An Analytical Approach
Series: Applied Mathematical Sciences, Vol. 170
Schuss, Zeev
2010, XVII, 468 p.
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This book offers an analytical approach to stochastic processes that are most common in the physical and life sciences. Its aim is to make probability theory readily accessible to scientists trained in the traditional methods of applied mathematics, such as integral, ordinary, and partial differential equations and in asymptotic methods, rather than in probability and measure theory. It shows how to derive explicit expressions for quantities of interest by solving equations. Emphasis is put on rational modeling and approximation methods.
The book includes many detailed illustrations, applications, examples and exercises. It will appeal to graduate students and researchers in mathematics, physics and engineering.
Content Level » Research
Keywords » Brownian motion - Markov - Markov process - Signal - communication - jump process - stochastic process
Related subjects » Complexity - Computational Intelligence and Complexity - Mathematics - Probability Theory and Stochastic Processes
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