Numerical Methods in Sensitivity Analysis and Shape Optimization
About this ebook
Key features of this original, progressive, and comprehensive approach:
* description of mathematical background and underlying tools
* up-to-date review of grid construction and control, optimization algorithms, software differentiation and gradient calculations
* practical solutions for implementation in many real-life problems
* solution of illustrative examples and exercises
* basic mathematical programming techniques used to solve constrained minimization problems are presented; these fairly self-contained chapters can serve as an introduction to the numerical solution of generic constrained optimization problems
* supplementary online source files and data; readers can test different solution strategies to determine their relevance and efficiency
* supplementary files also offer software building, updating computational grids, performing automatic code differentiation, and computing basic aeroelastic solutions
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. The work is suitable as a textbook for graduate courses in any of the topics mentioned above, and as a reference text.
