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Frontiers in PDE-Constrained Optimization

Overview of attention for book
Cover of 'Frontiers in PDE-Constrained Optimization'

Table of Contents

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    Book Overview
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    Chapter 1 A Brief Introduction to PDE-Constrained Optimization
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    Chapter 2 Optimization of PDEs with Uncertain Inputs
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    Chapter 3 Inexact Trust-Region Methods for PDE-Constrained Optimization
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    Chapter 4 Numerical Optimization Methods for the Optimal Control of Elliptic Variational Inequalities
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    Chapter 5 Introduction to PDE-Constrained Optimization in the Oil and Gas Industry
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    Chapter 6 Full-Wavefield Inversion: An Extreme-Scale PDE-Constrained Optimization Problem
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    Chapter 7 Energetically Optimal Flapping Wing Motions via Adjoint-Based Optimization and High-Order Discretizations
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    Chapter 8 Optimization of a Fractional Differential Equation
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    Chapter 9 Sensitivity-Based Topology and Shape Optimization with Application to Electric Motors
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    Chapter 10 Distributed Parameter Estimation for the Time-Dependent Radiative Transfer Equation
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    Chapter 11 On the Use of Optimal Transport Distances for a PDE-Constrained Optimization Problem in Seismic Imaging
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    Chapter 12 Exploiting Sparsity in Solving PDE-Constrained Inverse Problems: Application to Subsurface Flow Model Calibration
Attention for Chapter 2: Optimization of PDEs with Uncertain Inputs
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Chapter title
Optimization of PDEs with Uncertain Inputs
Chapter number 2
Book title
Frontiers in PDE-Constrained Optimization
Published by
Springer, New York, NY, January 2018
DOI 10.1007/978-1-4939-8636-1_2
Book ISBNs
978-1-4939-8635-4, 978-1-4939-8636-1
Authors

Drew P. Kouri, Alexander Shapiro, Kouri, Drew P., Shapiro, Alexander

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 67%
Unknown 2 33%
Readers by discipline Count As %
Mathematics 2 33%
Engineering 1 17%
Unknown 3 50%

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