Frontiers in PDE-constrained optimization. (2018)
- Record Type:
- Book
- Title:
- Frontiers in PDE-constrained optimization. (2018)
- Main Title:
- Frontiers in PDE-constrained optimization
- Further Information:
- Note: Harbir Antil, Drew P. Kouri, Martin-D. Lacasse, Denis Ridzal, editors.
- Editors:
- Antil, Harbir
Kouri, Drew P
Lacasse, Martin-D
Ridzal, Denis - Other Names:
- Frontiers in PDE-constrained optimization (Workshop)
- Contents:
- Intro; Foreword; Preface; Contents; Part I PDE-Constrained Optimization: Tutorials; A Brief Introduction to PDE-Constrained Optimization; 1 Introduction; 2 Abstract Optimization Problem; 2.1 Existence; 2.2 Differentiation in Banach Spaces; 2.3 First-Order Necessary Optimality Conditions; 3 Application to PDE-Constrained Optimization Problems; 3.1 Reduced Form: First-Order Necessary Optimality Conditions; 3.2 Lagrangian Formulation; 3.2.1 First-Order Optimality Conditions; 3.2.2 Second-Order Derivatives; 4 Sobolev Spaces; 5 Second-Order Linear Elliptic PDEs; 5.1 Existence and Uniqueness 5.2 Regularity6 Linear Quadratic PDE-Constrained Optimization Problem; 6.1 Problem Formulation; 6.2 Reduced PDECO Problem; 6.3 First-Order Optimality Conditions; 6.4 Lagrange Method; 7 Semilinear Quadratic PDE-Constrained Optimization Problem; 8 Discrete Optimal Control Problem; 8.1 Discrete Linear Quadratic PDE-Constrained Optimization Problem; 8.2 Optimization Problem Without Control Constraints; 8.3 Optimization Problem with Control Constraints; 8.3.1 Cell-Wise Constant Control Discretization; 8.3.2 Cell-Wise Linear Control Discretization; 8.4 Semilinear Equations 9 Conclusion and the Current State of the ArtReferences; Optimization of PDEs with Uncertain Inputs; 1 Introduction; 2 Tensor Product Spaces; 3 Problem Formulation; 3.1 Existence of Minimizers and Optimality Conditions; 3.2 Linear Elliptic Optimal Control; 4 Choosing the Functional R; 4.1 Risk-Averse Optimization; 4.2Intro; Foreword; Preface; Contents; Part I PDE-Constrained Optimization: Tutorials; A Brief Introduction to PDE-Constrained Optimization; 1 Introduction; 2 Abstract Optimization Problem; 2.1 Existence; 2.2 Differentiation in Banach Spaces; 2.3 First-Order Necessary Optimality Conditions; 3 Application to PDE-Constrained Optimization Problems; 3.1 Reduced Form: First-Order Necessary Optimality Conditions; 3.2 Lagrangian Formulation; 3.2.1 First-Order Optimality Conditions; 3.2.2 Second-Order Derivatives; 4 Sobolev Spaces; 5 Second-Order Linear Elliptic PDEs; 5.1 Existence and Uniqueness 5.2 Regularity6 Linear Quadratic PDE-Constrained Optimization Problem; 6.1 Problem Formulation; 6.2 Reduced PDECO Problem; 6.3 First-Order Optimality Conditions; 6.4 Lagrange Method; 7 Semilinear Quadratic PDE-Constrained Optimization Problem; 8 Discrete Optimal Control Problem; 8.1 Discrete Linear Quadratic PDE-Constrained Optimization Problem; 8.2 Optimization Problem Without Control Constraints; 8.3 Optimization Problem with Control Constraints; 8.3.1 Cell-Wise Constant Control Discretization; 8.3.2 Cell-Wise Linear Control Discretization; 8.4 Semilinear Equations 9 Conclusion and the Current State of the ArtReferences; Optimization of PDEs with Uncertain Inputs; 1 Introduction; 2 Tensor Product Spaces; 3 Problem Formulation; 3.1 Existence of Minimizers and Optimality Conditions; 3.2 Linear Elliptic Optimal Control; 4 Choosing the Functional R; 4.1 Risk-Averse Optimization; 4.2 Probabilistic Optimization; 4.3 Distributionally Robust Optimization; 5 Methods for Expectation-Based Optimization; 5.1 Stochastic Approximation; 5.2 Sample Average and Quadrature Approximation; 5.3 Progressive Hedging; 6 Numerical Example; 7 Conclusions; References Inexact Trust-Region Methods for PDE-Constrained Optimization1 Introduction; 2 Notation; 3 Problem Formulations; 4 Inexact Trust-Region Methods; 4.1 A Reduced-Space Approach; 4.1.1 Related Work; 4.2 A Full-Space Approach; 4.2.1 Computation of the Quasi-Normal Step; 4.2.2 Solution of the Tangential Subproblem; 4.2.3 Computation of the Tangential Step; 4.2.4 Computation of the Lagrange Multipliers; 4.2.5 Full-Space Trust-Region SQP Algorithm with Inexact Linear System Solves; 4.2.6 Related Work; 5 Application to Risk-Neutral Optimization; 5.1 Sparse-Grid Adaptivity 5.1.1 Computation of Inexact Gradient5.1.2 Computation of Inexact Objective Function Value; 5.2 Iterative Linear System Solves; 6 Numerical Examples; 6.1 Reduced-Space Results with Adaptive Sparse Grids; 6.2 Full-Space Results with Iterative Linear System Solves; 6.3 Reproducibility; 7 Conclusions; References; Numerical Optimization Methods for the Optimal Controlof Elliptic Variational Inequalities; 1 Introduction; 2 Notation, Assumptions, and Preliminary Results; 2.1 Norms, Inner Products, and Convergence; 2.2 Extended Real-Valued Functionals and Convex Analysis … (more)
- Publisher Details:
- New York, NY : Springer
- Publication Date:
- 2018
- Extent:
- 1 online resource
- Subjects:
- 519.6
Mathematics
Constrained optimization -- Congresses
Differential equations, Partial -- Congresses
Differential equations, partial
Mathematical optimization
Topology
MATHEMATICS / Applied
MATHEMATICS / Probability & Statistics / General
Mathematics -- Applied
Mathematics -- Topology
Applied mathematics
Optimization
Topology
Mathematics -- Differential Equations
Differential calculus & equations
Electronic books - Languages:
- English
- ISBNs:
- 9781493986361
1493986368 - Related ISBNs:
- 9781493986354
- Notes:
- Note: Online resource; title from PDF title page (SpringerLink, viewed October 17, 2018).
- Access Rights:
- Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
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- Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.
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- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD.DS.340980
- Ingest File:
- 02_336.xml