Robust Optimization (Princeton Series In Applied Mathematics (28))

By Arkadi Nemirovski, A.. Ben-Tal, Aharon Ben-Tal, Laurent El Ghaoui

Robust Optimization Is A Fairly New Approach To Optimization Problems Affected By Uncertainty, But It Has Already Proved So Useful In Real Applications That It Is Difficult To Tackle Such Problems...

Lectures On Modern Convex Optimization: Analysis, Algorithms, And Engineering Applications

By Arkadi Nemirovski, A.. Ben-Tal, Aharon Ben-Tal

Here is a book devoted to well-structured and thus efficiently solvable convex optimization problems, with emphasis on conic quadratic and semidefinite programming. The authors present the basic th...

Robust Optimization

By Arkadi Nemirovski, A.. Ben-Tal, Aharon Ben-Tal, Laurent El Ghaoui

Robust optimization is still a relatively new approach to optimization problems affected by uncertainty, but it has already proved so useful in real applications that it is difficult to tackle such...

Robust Optimization

By A.. Ben-Tal, Laurent El Ghaoui

Robust Optimization

By A.. Ben-Tal

Lectures On Modern Convex Optimization : Analysis, Algorithms, And Eng...

By A.. Ben-Tal

Optimality Conditions For Convex Semi-Infinite Programming Problems

By S. Zlobec, A.. Ben-Tal, L. Kerzner

## Abstract This paper gives characterization of optimal Solutions for convex semiinfinite programming problems. These characterizations are free of a constraint qualification assumption. Thus they...