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Stochastic Processes Optimization And Control Theory Applications In Financial Engineering at Meripustak

Stochastic Processes Optimization And Control Theory Applications In Financial Engineering by Houmin Yan, G. George Yin, Qing Zhang , Springer

Books from same Author: Houmin Yan, G. George Yin, Qing Zhang

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  • General Information  
    Author(s)Houmin Yan, G. George Yin, Qing Zhang
    PublisherSpringer
    ISBN9780387337708
    Pages360
    BindingHardback
    LanguageEnglish
    Publish YearJune 2006

    Description

    Springer Stochastic Processes Optimization And Control Theory Applications In Financial Engineering by Houmin Yan, G. George Yin, Qing Zhang

    This edited volume contains 16 research articles. It presents recent and pressing issues in stochastic processes, control theory, differential games, optimization, and their applications in finance, manufacturing, queueing networks, and climate control. One of the salient features is that the book is highly multi-disciplinary. The book is dedicated to Professor Suresh Sethi on the occasion of his 60th birthday, in view of his distinguished career._x000D_ _x000D_TCP-AQM Interaction: Periodic Optimization via Linear Programming.- Explicit Solutions of Linear Quadratic Differential Games.- Extended Generators of Markov Processes and Applications.- Control of Manufacturing Systems with Delayed Inspection and Limited Capacity.- Admission Control in the Presence of Priorities: A Sample Path Approach.- Some Bilinear Stochastic Equations with a Fractional Brownian Motion.- Two Types of Risk.- Optimal Production Policy in a Stochastic Manufacturing System.- A Stochastic Control Approach to Optimal Climate Policies.- Characterization of Just in Time Sequencing via Apportionment.- Linear Stochastic Equations in a Hilbert Space with a Fractional Brownian Motion.- Hedging Options with Transaction Costs.- Supply Portfolio Selection and Execution with Demand Information Updates.- A Regime-Switching Model for European Options.- Pricing American Put Options Using Stochastic Optimization Methods.- Optimal Portfolio Application with Double-Uniform Jump Model._x000D_



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