Sensitivity analysis and optimal shape design are key issues in
engineering that have been affected by advances in numerical tools
currently available. This book, and its supplementary online files,
presents basic optimization techniques that can be used to compute
the sensitivity of a given design to local change, or to improve
its performance by local optimization of these data. The relevance
and scope of these techniques have improved dramatically in recent
years because of progress in discretization strategies,
optimization algorithms, automatic differentiation, software
availability, and the power of personal computers.
Numerical Methods in Sensitivity Analysis and Shape Optimization
will be of interest to graduate students involved in mathematical
modeling and simulation, as well as engineers and researchers in
applied mathematics looking for an up-to-date introduction to
optimization techniques, sensitivity analysis, and optimal
design.
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