£112.37

Springer Mathematical Control Theory for Stochastic PDEs - 101

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Description

Expand your academic library with this specialized volume from Springer. Part of the Probability Theory and Stochastic Modelling series (volume 101), this text focuses on Mathematical Control Theory for Stochastic Partial Differential Equations. This publication serves as a dedicated resource for those studying advanced mathematical frameworks and stochastic modeling. As a professional reference work, it provides the necessary depth for researchers and students working within the complex fields of probability and differential equations. By adding this Springer title to your collection, you gain access to a high-level academic text designed for rigorous study. It is an essential addition for anyone seeking to deepen their understanding of stochastic processes and control theory in a mathematical context. This book is categorized as a professional reference, making it a reliable tool for your technical research and academic development.

Key Features

Part of the Probability Theory and Stochastic Modelling series, specifically volume 101.

Published by Springer, a recognized name in academic and technical literature.

Provides a focused study on Mathematical Control Theory for Stochastic Partial Differential Equations.

Serves as a professional reference for researchers and students in mathematics.

Designed for deep technical study in the fields of probability and stochastic modeling.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
18 September 2022
Listed Since
23 August 2022

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