This volume provides a broad and uniform introduction of PDE-constrained
optimization as well as to document a number of interesting and
challenging applications. Many science and engineering applications
necessitate the solution of optimization problems constrained by
physical laws that are described by systems of partial differential
equations (PDEs). As a result, PDE-constrained optimization problems
arise in a variety of disciplines including geophysics, earth and
climate science, material science, chemical and mechanical engineering,
medical imaging and physics.
This volume is divided into two parts. The first part provides a
comprehensive treatment of PDE-constrained optimization including
discussions of problems constrained by PDEs with uncertain inputs and
problems constrained by variational inequalities. Special emphasis is
placed on algorithm development and numerical computation. In addition,
a comprehensive treatment of inverse problems arising in the oil and gas
industry is provided. The second part of this volume focuses on the
application of PDE-constrained optimization, including problems in
optimal control, optimal design, and inverse problems, among other
topics.