Mathematical Programming with Data Perturbations

Describes various methodologies for sensitivity, stability and approximation analysis of mathematical programming and related problem structures involving parameters. This text covers such areas as the effect of perturbations on the performance of algorithms, and approximation techniques for optimal control problems.