Further Topics on Discrete-Time Markov Control Processes: 42 (Stochastic Modelling and Applied Probability, 42) - Image 1

£98.80

Springer Further Topics on Discrete-Time Markov Control Processes: 42 (Stochastic Modelling and Applied Probability, 42)

Name: Further Topics on Discrete-Time Markov Control Processes: 42 (Stochastic Modelling and Applied Probability, 42)
Brand: Springer
Price: 99.4 GBP
Availability: InStock

General Medical Issues

Price History & Forecast

Last 87 days • 87 data points (No recent data available)

Historical

Generating forecast...

Price Distribution

Price distribution over 87 days • 2 price levels

Days at Price

Current Price

Price Analysis

Most common price: £99 (72 days, 82.8%)

Price range: £99 - £99

Price levels: 2 different prices over 87 days

Description

Devoted to a systematic exposition of some recent developments in the theory of discrete-time Markov control processes, the text is mainly confined to MCPs with Borel state and control spaces. Although the book follows on from the author's earlier work, an important feature of this volume is that it is self-contained and can thus be read independently of the first. The control model studied is sufficiently general to include virtually all the usual discrete-time stochastic control models that appear in applications to engineering, economics, mathematical population processes, operations research, and management science.

Product Specifications

Brand: Springer
Format: paperback
ASIN: 1461268184
Category: Books > Subjects > Health, Family & Lifestyle > Medical & Healthcare Practitioners > General Medical Issues
Domain: Amazon UK
Publication Date: 12 October 2012
Listed Since: 14 July 2013

Barcode

No barcode data available

Springer Further Topics on Discrete-Time Markov Control Processes: 42 (Stochastic Modelling and Applied Probability, 42)

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

Continuous-Time Markov Chains and Applications: A Two-Time-Scale Approach: 37 (Stochastic Modelling and Applied Probability, 37)

Continuous-Time Markov Decision Processes: Theory and Applications: 62 (Stochastic Modelling and Applied Probability, 62)

SELECTED TOPICS ON CONTINUOUS-TIME CONTROLLED MARKOV CHAINS AND MARKOV GAMES: 5 (Icp Advanced Texts In Mathematics)

General Pontryagin-Type Stochastic Maximum Principle and Backward Stochastic Evolution Equations in Infinite Dimensions (SpringerBriefs in Mathematics)

OPTIMAL CONTROL THEORY ECON.APPLIC. (Advanced Textbooks in Economics): Volume 24

Linear Stochastic Systems (Classics in Applied Mathematics)

Optimal Control Theory With Economic Applications

Matrix-Analytic Methods in Stochastic Models: 27 (Springer Proceedings in Mathematics & Statistics, 27)

Optimal Stochastic Control, Stochastic Target Problems, and Backward SDE: 29 (Fields Institute Monographs, 29)

Linear Time Varying Systems and Sampled-data Systems: 265 (Lecture Notes in Control and Information Sciences, 265)

Topics in the Constructive Theory of Countable Markov Chains

Markov Chains on Metric Spaces: A Short Course (Universitext)

State-Space Models: Applications in Economics and Finance: 1 (Statistics and Econometrics for Finance, 1)

Non-cooperative Stochastic Differential Game Theory of Generalized Markov Jump Linear Systems: 67 (Studies in Systems, Decision and Control, 67)

Control and Estimation in Distributed Parameter Systems: 11 (Frontiers in Applied Mathematics, Series Number 11)

Delays and Networked Control Systems: 6 (Advances in Delays and Dynamics, 6)

An Introduction to Stochastic Dynamics: 51 (Cambridge Texts in Applied Mathematics, Series Number 51)

Stochastic Processes (Probability and Its Applications (duplicate))

Weak Convergence Methods and Singularly Perturbed Stochastic Control and Filtering Problems (Systems & Control: Foundations & Applications)

Large Deviations for Stochastic Processes (Mathematical Surveys & Monographs)

Stability and Stabilization of Nonlinear Systems with Random Structures (Stability and Control: Theory, Methods and Applications)

Continuous Time Markov Processes: An Introduction (Graduate Studies in Mathematics)

Formal Methods for Discrete-Time Dynamical Systems: 89 (Studies in Systems, Decision and Control, 89)

Stochastic Dynamic Programming and the Control of Queueing Systems: 505 (Wiley Series in Probability and Statistics)