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Introduction to stochastic processes and simulation

✍ Scribed by Gerard-Michel Cochard

Publisher: Wiley
Year: 2019
Tongue: English
Category: Library

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No coin nor oath required. For personal study only.

✦ Synopsis

Mastering chance has, for a long time, been a preoccupation of mathematical research. Today, we possess a predictive approach to the evolution of systems based on the theory of probabilities. Even so, uncovering this subject is sometimes complex, because it necessitates a good knowledge of the underlying mathematics. This book offers an introduction to the processes linked to the fluctuations in chance and the use of numerical methods to approach solutions that are difficult to obtain through an analytical approach. It takes classic examples of inventory and queueing management, and addresses more diverse subjects such as equipment reliability, genetics, population dynamics, physics and even market finance. It is addressed to those at Masters level, at university, engineering school or management school, but also to an audience of those in continuing education, in order that they may discover the vast field of decision support.

✦ Table of Contents

Content: Part 1. Basic Mathematical Concepts 1. Basic Reminders of Probability. 2. Probabilistic Models. 3. Inventory Management. Part 2. Stochastic Processes 4. Markov Chains. 5. Markov Processes. 6. Queueing Systems. 7. Various Applications. Part 3. Simulation 8. Generator Programs. 9. Principles of Simulation. 10. Simulation of Inventory Management. 11. Simulation of a Queueing Process. 12. Optimization and Simulation.

✦ Subjects

Stochastic processes.;Simulation methods.

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