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Optimization and Control for Partial Differential Equations - Uncertainty quantification, open and closed-loop control, and shape optimization (Hardcover) Loot Price: R3,799
Discovery Miles 37 990
You Save: R615 (14%)
Optimization and Control for Partial Differential Equations - Uncertainty quantification, open and closed-loop control, and...

Optimization and Control for Partial Differential Equations - Uncertainty quantification, open and closed-loop control, and shape optimization (Hardcover)

Roland Herzog, Matthias Heinkenschloss, Dante Kalise, Georg Stadler, Emmanuel Trelat

Series: Radon Series on Computational and Applied Mathematics

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List price R4,414 Loot Price R3,799 Discovery Miles 37 990 | Repayment Terms: R356 pm x 12* You Save R615 (14%)

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This book highlights new developments in the wide and growing field of partial differential equations (PDE)-constrained optimization. Optimization problems where the dynamics evolve according to a system of PDEs arise in science, engineering, and economic applications and they can take the form of inverse problems, optimal control problems or optimal design problems. This book covers new theoretical, computational as well as implementation aspects for PDE-constrained optimization problems under uncertainty, in shape optimization, and in feedback control, and it illustrates the new developments on representative problems from a variety of applications.

General

Imprint: De Gruyter
Country of origin: Germany
Series: Radon Series on Computational and Applied Mathematics
Release date: April 2022
First published: 2022
Editors: Roland Herzog • Matthias Heinkenschloss • Dante Kalise • Georg Stadler • Emmanuel Trelat
Dimensions: 240 x 170mm (L x W)
Format: Hardcover
Pages: 474
ISBN-13: 978-3-11-069596-0
Categories: Books > Science & Mathematics > Mathematics > Algebra > General
Books > Science & Mathematics > Mathematics > Calculus & mathematical analysis > Differential equations
Books > Science & Mathematics > Mathematics > Applied mathematics > General
LSN: 3-11-069596-0
Barcode: 9783110695960

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