Large-Scale PDE-Constrained Optimization
Optimal design, optimal control, and parameter estimation of systems governed by partial differential equations (PDEs) give rise to a class of problems known as PDE-constrained optimization. The size and complexity of the discretized PDEs often pose significant challenges for contemporary optimizati...
| Other Authors: | , , , |
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| Format: | eBook |
| Language: | English |
| Published: |
Berlin, Heidelberg
Springer Berlin Heidelberg
2003, 2003
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| Edition: | 1st ed. 2003 |
| Series: | Lecture Notes in Computational Science and Engineering
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| Subjects: | |
| Online Access: | |
| Collection: | Springer Book Archives -2004 - Collection details see MPG.ReNa |
Table of Contents:
- I Introduction
- Large-Scale PDE-Constrained Optimization: An Introduction
- II Large-Scale CFD Applications
- Nonlinear Elimination in Aerodynamic Analysis and Design Optimization
- Optimization of Large-Scale Reacting Flows using MPSalsa and Sequential Quadratic Programming
- III Multifidelity Models and Inexactness
- First-Order Approximation and Model Management in Optimization
- Multifidelity Global Optimization Using DIRECT
- Inexactness Issues in the Lagrange-Newton-Krylov-Schur Method for PDE-constrained Optimization
- IV Sensitivities for PDE-based Optimization
- Solution Adapted Mesh Refinement and Sensitivity Analysis for Parabolic Partial Differential Equation Systems
- Challenges and Opportunities in Using Automatic Differentiation with Object-Oriented Toolkits for Scientific Computing
- Piggyback Differentiation and Optimization
- V NLP Algorithms and Inequality Constraints
- Assessing the Potential of Interior Methods for Nonlinear Optimization
- An Interior-Point Algorithm for Large Scale Optimization
- SQP SAND Strategies that Link to Existing Modeling Systems
- Interior Methods For a Class of Elliptic Variational Inequalities
- Hierarchical Control of a Linear Diffusion Equation
- VI Time-Dependent Problems
- A Sequential Quadratic Programming Method for Nonlinear Model Predictive Control
- Reduced Order Modelling Approaches to PDE-Constrained Optimization Based on Proper Orthogonal Decomposition
- Adaptive Simulation, the Adjoint State Method, and Optimization
- VII Frameworks for PDE-Constrained Optimization
- 18 The SIERRA Framework for Developing Advanced Parallel Mechanics Applications
- rSQP++: An Object-Oriented Framework for Successive Quadratic Programming
- Sundance Rapid Prototyping Tool for Parallel PDE Optimization
- Color Plates