Markov Chains: Gibbs Fields, Monte Carlo Simulation, and Queues (Texts in Applied Mathematics, 31, Band 31)

Name: Markov Chains: Gibbs Fields, Monte Carlo Simulation, and Queues (Texts in Applied Mathematics, 31, Band 31)
Brand: Springer
Availability: OutOfStock
Rating: 5 (1 reviews)

By Pierre Bremaud

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Description

This text is an introduction to the theory of stochastic processes at the undergraduate or beginning graduate level. Its primary objective is to initiate the student to the art of stochastic modeling. Mathematical definitions, theorems, proofs, and a number of classroom examples help the student to fully grasp the content of the main results, and problems of varying difficulty are proposed at the end of each chapter. The material is accessible to students who know the basics of probability theory, but a review of probability is included to make the text largely self-contained. It brings students to the borders of current research covering more advanced topics such as Martingales, eigenvalue, Gibbs fields and Monte Carlo techniques.

Product details

Edition:

1

Number of Pages:

462

Release Date:

1999-05-11

Publication Date:

1999-05-11

Publisher:

Springer

Languages:

Published: English, Original: English

ISBN10:

0387985093

GPSR Manufacturer Reference:

[email protected]

Weight:

930 g

Height:

24 cm

Width:

16 cm

Thickness:

3.2 cm

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