Presents research contributions and tutorial expositions on current
methodologies for sensitivity, stability and approximation analyses
of mathematical programming and related problem structures
involving parameters. The text features up-to-date findings on
important topics, covering such areas as the effect of
perturbations on the performance of algorithms, approximation
techniques for optimal control problems, and global error bounds
for convex inequalities.
General
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