Calmness in Optimization Problems with Equality Constraints
نویسندگان
چکیده
منابع مشابه
Control Problems with Equality Constraints
not available at time of publication. Dimitris Bertsimas Massachusetts Insitute of Technology [email protected] MS8 Less is More: Robustness and Sparsity in Multivariate Statistics We describe applications of robust optimization in the context of machine learning, with a focus on classification and regression, principal component analysis and fitting of graphical models. In these tasks, sparsity...
متن کاملOptimization Problems Under One-sided (max,min)-Linear Equality Constraints
In this article we will consider optimization problems, the objective function of which is equal to the maximum of a finite number of continuous functions of one variable. The set of feasible solutions is described by the system of (max,min)-linear equality constraints with variables on one side. Complexity of the proposed method with monotone or unimodal functions will be studied, possible gen...
متن کاملReliability optimization problems with multiple constraints under fuzziness
In reliability optimization problems diverse situation occurs due to which it is not always possible to get relevant precision in system reliability. The imprecision in data can often be represented by triangular fuzzy numbers. In this manuscript, we have considered different fuzzy environment for reliability optimization problem of redundancy. We formulate a redundancy allocation problem for a...
متن کاملNonlinear Robust Optimization with Uncertain Equality Constraints
The problem of nonlinear optimization for process design under uncertainty is addressed in this paper. A novel robust optimization framework is proposed to address general nonlinear problems under uncertainty. To address the limitation of single point linearization with respect to uncertain parameters for a large uncertainty region, an iterative algorithm is developed. The new method applies lo...
متن کاملOn Calmness of the Argmin Mapping in Parametric Optimization Problems
Recently, Cánovas et. al. [1] presented an interesting result: the argmin mapping of a linear semi-in nite program under canonical perturbations is calm if and only if some associated linear semi-in nite inequality system is calm. Using classical tools from parametric optimization, we show that the if-direction of this condition holds in a much more general framework of optimization models, whi...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Mathematical Analysis and Applications
سال: 1995
ISSN: 0022-247X
DOI: 10.1006/jmaa.1995.1032