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Can I read Hamilton-jacobi-bellman Equations: Numerical Methods and Applications in Optimal Control (Radon Series on Computational and Applied Mathematics) (Radon Computational and Applied Mathematics) on EtoBox?

Hamilton-jacobi-bellman Equations: Numerical Methods and Applications in Optimal Control (Radon Series on Computational and Applied Mathematics) (Radon Computational and Applied Mathematics) by Kalise, Dante (editor);Kunisch, Karl (editor);Rao, Zhiping (editor) is a nonfiction available to read on EtoBox.

What is Hamilton-jacobi-bellman Equations: Numerical Methods and Applications in Optimal Control (Radon Series on Computational and Applied Mathematics) (Radon Computational and Applied Mathematics) about?

Optimal feedback control arises in different areas such as aerospace engineering, chemical processing, resource economics, etc. In this context, the application of dynamic programming techniques leads to the solution of fully nonlinear Hamilton-Jacobi-Bellman equations. This book presents the state of the art in the numerical approximation of Hamilton-Jacobi-Bellman equations, including post-processing of Galerkin methods, high-order methods, boundary treatment in semi-Lagrangian schemes, reduced basis methods, comparison principles for viscosity solutions, max-plus methods, and the numerical approximation of Monge-Ampère equations. This book also features applications in the simulation of adaptive controllers and the control of nonlinear delay differential equations. Contents From a monotone probabilistic scheme to a probabilistic max-plus algorithm for solving Hamilton–Jacobi–Bellman equations Improving policies for Hamilton–Jacobi–Bellman equations by postprocessing Viability approach to simulation of an adaptive controller Galerkin approximations for the optimal control of nonlinear delay differential equations Efficient higher order time discretization schemes for Hamilton–Jac

Who reads Hamilton-jacobi-bellman Equations: Numerical Methods and Applications in Optimal Control (Radon Series on Computational and Applied Mathematics) (Radon Computational and Applied Mathematics)?

It is typically read by self-directed learners exploring a subject in depth.

Common subject areas: history, science, philosophy, social sciences.

Author
Kalise, Dante (editor);Kunisch, Karl (editor);Rao, Zhiping (editor)
Publisher
Walter De Gruyter Gmbh & Co Kg
Published
2018
Language
EN
ISBN
9783110543605
Category
nonfiction
Subjects
Mathematics, Stem

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