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The Sequential Quadratic Hamiltonian Method - Solving Optimal Control Problems (Hardcover)
Loot Price: R4,437
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The Sequential Quadratic Hamiltonian Method - Solving Optimal Control Problems (Hardcover)
Series: Chapman & Hall/CRC Numerical Analysis and Scientific Computing Series
Expected to ship within 12 - 17 working days
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The sequential quadratic hamiltonian (SQH) method is a novel
numerical optimization procedure for solving optimal control
problems governed by differential models. It is based on the
characterisation of optimal controls in the framework of the
Pontryagin maximum principle (PMP). The SQH method is a powerful
computational methodology that is capable of development in many
directions. The Sequential Quadratic Hamiltonian Method: Solving
Optimal Control Problems discusses its analysis and use in solving
nonsmooth ODE control problems, relaxed ODE control problems,
stochastic control problems, mixed-integer control problems, PDE
control problems, inverse PDE problems, differential Nash game
problems, and problems related to residual neural networks. This
book may serve as a textbook for undergraduate and graduate
students, and as an introduction for researchers in sciences and
engineering who intend to further develop the SQH method or wish to
use it as a numerical tool for solving challenging optimal control
problems and for investigating the Pontryagin maximum principle on
new optimisation problems. Feature Provides insight into
mathematical and computational issues concerning optimal control
problems, while discussing many differential models of interest in
different disciplines. Suitable for undergraduate and graduate
students and as an introduction for researchers in sciences and
engineering. Accompanied by codes which allow the reader to apply
the SQH method to solve many different optimal control and
optimisation problems
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