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Stochastic Optimal Control in Infinite Dimension - Dynamic Programming and HJB Equations (Hardcover, 2017 ed.)
Loot Price: R6,564
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Stochastic Optimal Control in Infinite Dimension - Dynamic Programming and HJB Equations (Hardcover, 2017 ed.)
Series: Probability Theory and Stochastic Modelling, 82
Expected to ship within 10 - 15 working days
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Providing an introduction to stochastic optimal control in infinite
dimension, this book gives a complete account of the theory of
second-order HJB equations in infinite-dimensional Hilbert spaces,
focusing on its applicability to associated stochastic optimal
control problems. It features a general introduction to optimal
stochastic control, including basic results (e.g. the dynamic
programming principle) with proofs, and provides examples of
applications. A complete and up-to-date exposition of the existing
theory of viscosity solutions and regular solutions of second-order
HJB equations in Hilbert spaces is given, together with an
extensive survey of other methods, with a full bibliography. In
particular, Chapter 6, written by M. Fuhrman and G. Tessitore,
surveys the theory of regular solutions of HJB equations arising in
infinite-dimensional stochastic control, via BSDEs. The book is of
interest to both pure and applied researchers working in the
control theory of stochastic PDEs, and in PDEs in infinite
dimension. Readers from other fields who want to learn the basic
theory will also find it useful. The prerequisites are: standard
functional analysis, the theory of semigroups of operators and its
use in the study of PDEs, some knowledge of the dynamic programming
approach to stochastic optimal control problems in finite
dimension, and the basics of stochastic analysis and stochastic
equations in infinite-dimensional spaces.
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