· A clear and brief review of essential concepts on probability theory, random functions, stochastic calculus, Monte Carlo simulation, and functional analysis
· Probabilistic models for random variables and functions needed to formulate stochastic equations describing realistic problems in engineering and applied sciences
· Practical methods for quantifying the uncertain parameters in the definition of stochastic equations, solving approximately these equations, and assessing the accuracy of approximate solutions
Stochastic Systems provides key information for researchers, graduate students, and engineers who are interested in the formulation and solution of stochastic problemsencountered in a broad range of disciplines. Numerous examples are used to clarify and illustrate theoretical concepts and methods for solving stochastic equations. The extensive bibliography and index at the end of the book constitute an ideal resource for both theoreticians and practitioners.
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