Add to ORKGThe motivations of nonsmooth analysis are discussed. Appiications are given to the sensitivity of optimal vaiues, the interpretation of Lagrange multipliers, and the stabiiity of constraint systems under perturbation
This is a well-written compendium of both classical and recent results on qualitative and quantitati...
Our paper deals with the interrelation of optimization methods and Lipschitz stability of multifunct...
Plusieurs problèmes importants issus de l'apprentissage statistique et de la science des données imp...
This book aims to give an introduction to generalized derivative concepts useful in deriving necessa...
Optimization, a central methodological tool of systems analysis, is used in many of IIASA's research...
El objetivo de la presente tesis es el estudio de la estabilidad de problemas de optimizaci on line...
Nonsmooth optimization is a field of research actively pursued at IIASA. In this paper, we show "wha...
This survey of nonsmooth analysis sets out to prove an inverse function theorem for set-valued maps....
In this paper S.M. Robinson's result concerning the upper Lipschitz continuity of polyhedral multifu...
The goal of this book is to present the main ideas and techniques in the field of continuous smooth ...
We introduce semismooth and semiconvex functions and discuss their properties with respect to nonsmo...
The present paper is concerned with optimization problems in which the data are differentiable funct...
The paper shows that L. Thibault's limit sets allow an iff-characterization of local Lipschitzian in...
The dissertation concerns a systematic study of full stability in general optimization models includ...
Nonsmoothness in optimization is typically highly structured, and this structure is fundamental to a...
This is a well-written compendium of both classical and recent results on qualitative and quantitati...
Our paper deals with the interrelation of optimization methods and Lipschitz stability of multifunct...
Plusieurs problèmes importants issus de l'apprentissage statistique et de la science des données imp...
This book aims to give an introduction to generalized derivative concepts useful in deriving necessa...
Optimization, a central methodological tool of systems analysis, is used in many of IIASA's research...
El objetivo de la presente tesis es el estudio de la estabilidad de problemas de optimizaci on line...
Nonsmooth optimization is a field of research actively pursued at IIASA. In this paper, we show "wha...
This survey of nonsmooth analysis sets out to prove an inverse function theorem for set-valued maps....
In this paper S.M. Robinson's result concerning the upper Lipschitz continuity of polyhedral multifu...
The goal of this book is to present the main ideas and techniques in the field of continuous smooth ...
We introduce semismooth and semiconvex functions and discuss their properties with respect to nonsmo...
The present paper is concerned with optimization problems in which the data are differentiable funct...
The paper shows that L. Thibault's limit sets allow an iff-characterization of local Lipschitzian in...
The dissertation concerns a systematic study of full stability in general optimization models includ...
Nonsmoothness in optimization is typically highly structured, and this structure is fundamental to a...
This is a well-written compendium of both classical and recent results on qualitative and quantitati...
Our paper deals with the interrelation of optimization methods and Lipschitz stability of multifunct...
Plusieurs problèmes importants issus de l'apprentissage statistique et de la science des données imp...