£113.76

Springer Optimization and Games for Controllable Markov Chains - Springer

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Description

This comprehensive academic text from Springer explores numerical methods for optimisation and game theory applied to controllable Markov chains, with practical applications across finance and engineering sectors. Part of the Studies in Systems, Decision and Control series (volume 504), this book provides rigorous mathematical frameworks and computational techniques for solving complex decision problems in stochastic systems. Ideal for researchers, practitioners, and advanced students working in quantitative finance, control systems, and applied mathematics, this reference combines theoretical foundations with real-world problem-solving approaches. The detailed treatment of Markov chain optimisation methods equips professionals with tools to model and resolve dynamic decision scenarios where uncertainty and multiple agents interact, making it invaluable for those tackling sophisticated challenges in financial modelling, resource allocation, and engineered systems.

Key Features

Focuses on numerical methods for controllable Markov chains applied to finance and engineering problems.

Published by Springer as part of the Studies in Systems, Decision and Control series, volume 504.

Combines optimisation theory with game-theoretic approaches for stochastic decision systems.

Addresses real-world applications in financial modelling, control systems, and quantitative analysis.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
15 December 2024
Listed Since
16 December 2024

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