Logo

Applied Stochastic Processes in Science and Engineering

Small book cover: Applied Stochastic Processes in Science and Engineering

Applied Stochastic Processes in Science and Engineering
by

Publisher: University of Waterloo
Number of pages: 316

Description:
This book is designed as an introduction to the ideas and methods used to formulate mathematical models of physical processes in terms of random functions. Written for a senior undergraduate course offered to students with a suitably mathematical background.

Home page url

Download or read it online for free here:
Download link
(5.4MB, PDF)

Similar books

Book cover: Probability Theory and Stochastic Processes with ApplicationsProbability Theory and Stochastic Processes with Applications
by - Overseas Press
This text covers material of a basic probability course, discrete stochastic processes including Martingale theory, continuous time stochastic processes like Brownian motion and stochastic differential equations, estimation theory, and more.
(14511 views)
Book cover: Lectures on Stochastic Flows and ApplicationsLectures on Stochastic Flows and Applications
by - Tata Institute Of Fundamental Research
The author presents basic properties of stochastic flows, specially of Brownian flows and their relations with local characteristics and with stochastic differential equations. Various limit theorems for stochastic flows are presented.
(11163 views)
Book cover: Synchronization and Linearity: An Algebra for Discrete Event SystemsSynchronization and Linearity: An Algebra for Discrete Event Systems
by - John Wiley & Sons
Presents new modelling and analysis techniques for the description of discrete event dynamic systems. Created within the text is a calculus which allows the derivation of analytical tools for computing the time behavior of this type of system.
(17082 views)
Book cover: Introduction to Stochastic ProcessesIntroduction to Stochastic Processes
by - The University of Texas at Austin
Contents: Probability review; Mathematica in 15 minutes; Stochastic Processes; Simple random walk; Generating functions; Random walks - advanced methods; Branching processes; Markov Chains; The 'Stochastics' package; Classification of States; etc.
(9925 views)