http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
Theory and Applications of Stochastic Processes
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.
The Physical Brownian Motion: Diffusion And Noise -- The Probability Space of Brownian Motion -- It#x00F4; Integration and Calculus -- Stochastic Differential Equations -- The Discrete Approach and Boundary Behavior -- The First Passage Time of Diffusions -- Markov Processes and their Diffusion Approximations -- Diffusion Approximations to Langevin#x2019;s Equation -- Large Deviations of Markovian Jump Processes -- Noise-Induced Escape From an Attractor -- Stochastic Stability.
Probability Theory and Stochastic Processes
Mathematical Modeling and Industrial Mathematics
Statistical Physics, Dynamical Systems and Complexity
Appl.Mathematics/Computational Methods of Engineering