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With contributions by specialists in optimization and practitioners
in the fields of aerospace engineering, chemical engineering, and
fluid and solid mechanics, the major themes include an assessment
of the state of the art in optimization algorithms as well as
challenging applications in design and control, in the areas of
process engineering and systems with partial differential equation
models.
With contributions by specialists in optimization and practitioners
in the fields of aerospace engineering, chemical engineering, and
fluid and solid mechanics, the major themes include an assessment
of the state of the art in optimization algorithms as well as
challenging applications in design and control, in the areas of
process engineering and systems with partial differential equation
models.
With contributions by specialists in optimization and practitioners
in the fields of aerospace engineering, chemical engineering, and
fluid and solid mechanics, the major themes include an assessment
of the state of the art in optimization algorithms as well as
challenging applications in design and control, in the areas of
process engineering and systems with partial differential equation
models.
With contributions by specialists in optimization and practitioners in the fields of aerospace engineering, chemical engineering, and fluid and solid mechanics, the major themes include an assessment of the state of the art in optimization algorithms as well as challenging applications in design and control, in the areas of process engineering and systems with partial differential equation models.
With contributions by specialists in optimization and practitioners in the fields of aerospace engineering, chemical engineering, and fluid and solid mechanics, the major themes include an assessment of the state of the art in optimization algorithms as well as challenging applications in design and control, in the areas of process engineering and systems with partial differential equation models.
Inverse problems and optimal design have come of age as a
consequence of the availability of better, more accurate, and more
efficient simulation packages. Many of these simulators, which can
run on small workstations, can capture the complicated behavior of
the physical systems they are modeling, and have become commonplace
tools in engineering and science. There is a great desire to use
them as part of a process by which measured field data are analyzed
or by which design of a product is automated. A major obstacle in
doing precisely this is that one is ultimately confronted with a
large-scale optimization problem. This volume contains expository
articles on both inverse problems and design problems formulated as
optimization. Each paper describes the physical problem in some
detail and is meant to be accessible to researchers in optimization
as well as those who work in applied areas where optimization is a
key tool. What emerges in the presentations is that there are
features about the problem that must be taken into account in
posing the objective function, and in choosing an optimization
strategy. In particular there are certain structures peculiar to
the problems that deserve special treatment, and there is ample
opportunity for parallel computation. THIS IS BACK COVER TEXT
Inverse problems and optimal design have come of age as a
consequence of the availability of better, more accurate, and more
efficient, simulation packages. The problem of determining the
parameters of a physical system from
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