£158.38

Springer Stochastic Optimal Control in Infinite Dimension Book

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Description

Explore the advanced mathematical landscape of stochastic optimal control with this specialized text from Springer. Part of the Probability Theory and Stochastic Modelling series, volume 82 provides a thorough account of second-order HJB equations within infinite-dimensional Hilbert spaces. This book is designed for those seeking a deep understanding of how these equations apply to complex stochastic optimal control problems. The text offers a comprehensive introduction to optimal stochastic control, covering essential results such as the dynamic programming principle with full proofs. Readers will find a clear path through the theory, supported by practical examples of applications. It provides a current and complete exposition of viscosity solutions and regular solutions of second-order HJB equations in Hilbert spaces, making it a valuable resource for researchers and students in applied mathematics and probability theory.

Key Features

Covers the complete theory of second-order HJB equations in infinite-dimensional Hilbert spaces for advanced mathematical study.

Includes a general introduction to optimal stochastic control featuring essential results like the dynamic programming principle with proofs.

Provides a detailed and up-to-date exposition of viscosity solutions and regular solutions for second-order HJB equations.

Features practical examples of applications to help bridge the gap between mathematical theory and real-world stochastic control problems.

Part of the professional Probability Theory and Stochastic Modelling series (Volume 82) by Springer.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
09 September 2018
Listed Since
08 February 2019

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No barcode data available

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