Stochastic Geometric Analysis: Theory and Applications
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Stochastic Geometric Analysis: Theory and Applications provides a comprehensive introduction to the theory of stochastic geometric analysis, a rapidly developing field with applications in a wide range of areas including physics, engineering, biology, and finance.
The book begins with a review of the basic concepts of probability theory and measure theory, and then develops the theory of stochastic processes, including Brownian motion, Poisson processes, and Gaussian processes.
The book then introduces the theory of stochastic differential equations, which are used to model a wide range of phenomena in the natural and social sciences.
The book concludes with a discussion of applications of stochastic geometric analysis to a variety of areas, including finance, biology, and physics.
Stochastic Geometric Analysis: Theory and Applications is an essential resource for researchers and students in mathematics, physics, engineering, biology, and finance.
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