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Titlebook: Optimal Control of Partial Differential Equations; Analysis, Approximat Andrea Manzoni,Alfio Quarteroni,Sandro Salsa Textbook 2021 Springer

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發(fā)表于 2025-3-21 18:24:38 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Optimal Control of Partial Differential Equations
副標題Analysis, Approximat
編輯Andrea Manzoni,Alfio Quarteroni,Sandro Salsa
視頻videohttp://file.papertrans.cn/703/702837/702837.mp4
概述Offers a strong interplay between theory, numerics & applications.Starting from simple problems that allow a “hands-on” treatment, the reader is progressively led to a general framework, suitable to f
叢書名稱Applied Mathematical Sciences
圖書封面Titlebook: Optimal Control of Partial Differential Equations; Analysis, Approximat Andrea Manzoni,Alfio Quarteroni,Sandro Salsa Textbook 2021 Springer
描述.This is a book on optimal control problems (OCPs) for partial differential equations (PDEs) that evolved from a series of courses taught by the authors in the last few years at Politecnico di Milano, both at the undergraduate and graduate levels. The book covers the whole range spanning from the setup and the rigorous theoretical analysis of OCPs, the derivation of the system of optimality conditions, the proposition of suitable numerical methods, their formulation, their analysis, including their application to a broad set of problems of practical relevance..The first introductory chapter addresses a handful of representative OCPs and presents an overview of the associated mathematical issues. The rest of the book is organized into three parts: part I provides preliminary concepts of OCPs for algebraic and dynamical systems; part II addresses OCPs involving linear PDEs (mostly elliptic and parabolic type) and quadratic cost functions; part III deals with more general classes ofOCPs that stand behind the advanced applications mentioned above..Starting from simple problems that allow a “hands-on” treatment, the reader is progressively led to a general framework suitable to face a b
出版日期Textbook 2021
關鍵詞Optimal control; Partial differential equations; Numerical approximation; Mathematical analysis; Scienti
版次1
doihttps://doi.org/10.1007/978-3-030-77226-0
isbn_softcover978-3-030-77228-4
isbn_ebook978-3-030-77226-0Series ISSN 0066-5452 Series E-ISSN 2196-968X
issn_series 0066-5452
copyrightSpringer Nature Switzerland AG 2021
The information of publication is updating

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沙發(fā)
發(fā)表于 2025-3-21 20:35:22 | 只看該作者
Prelude on Control: The Case of Algebraic and ODE SystemsDE system. This choice is motivated by several reasons. These problems serve as a . to develop the analysis and derive the system of optimality conditions by exploiting the results of Chap. .. Moreover, when treating the numerical discretization of OCPs governed by PDEs we naturally land on finite d
板凳
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Numerical Approximation of Linear-Quadratic OCPstwo different examples of state problems: a scalar advection-diffusion (-reaction) problem, and the Stokes system for viscous incompressible flows. After a quick overview in Sect. 6.1, in Sect. 6.2 we describe two general approaches which go under the name of . and .. In Sect. 6.3 we solve the OCPs
地板
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Numerical Approximation of Quadratic OCPs Governed by Linear Evolution PDEsate system described by a linear initial-boundary value problem (IBVP). We will closely follow the same road map of Chap. .. In Sect. 8.1 we revisit the . and the . approach; we will show how time discretization might affect the numerical approximation of the system of optimality conditions. Solutio
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發(fā)表于 2025-3-22 20:46:12 | 只看該作者
Advanced Selected Applicationssystems, more involved cost functionals, and additional constraints required to ensure control feasibility, make these OCPs more challenging than those addressed so far, both for their analysis and for their numerical approximation. We propose a theoretical framework for the well-posedness analysis
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Andrea Manzoni,Alfio Quarteroni,Sandro Salsaa system informational descriptionand improvement,including various activities in such areas as thinking, intelligent processes, communications, management, and other nonphysical subjects with their mutual interactions, informational superimposition, and theinformation transferredbetweeninteractions
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