On iterated minimization in nonconvex optimization
Mathematics of Operations Research
Local epi-continuity and local optimization
Mathematical Programming: Series A and B
Implicit functions and sensitivity of stationary points
Mathematical Programming: Series A and B
An implicit-function theorem for a class of nonsmooth functions
Mathematics of Operations Research
Strong stability of stationary solutions and Karush-Kuhn-Tucker points in nonlinear optimization
Annals of Operations Research
Lipschitzian inverse functions, directional derivatives, and applications in C1,1 optimization
Journal of Optimization Theory and Applications
Sensitivity analysis for nonsmooth generalized equations
Mathematical Programming: Series A and B
Implicit functions, Lipschitz maps, and stability in optimization
Mathematics of Operations Research
Directional derivatives of the solution of a parametric nonlinear program
Mathematical Programming: Series A and B
Variational conditions and the proto-differentiation of partial subgradient mappings
Nonlinear Analysis: Theory, Methods & Applications
Implicit multifunction theorems for the sensitivity analysis of variational conditions
Mathematical Programming: Series A and B
Piecewise smoothness, local invertibility, and parametric analysis of normal maps
Mathematics of Operations Research
Sensitivity analysis of composite piecewise smooth equations
Mathematical Programming: Series A and B - Special issue on computational nonsmooth optimization
Characterizations of Strong Regularity for Variational Inequalities over Polyhedral Convex Sets
SIAM Journal on Optimization
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In this paper we consider systems of equationswhich are defined by nonsmooth functions of a specialstructure. Functions of this type are adapted fromKojima‘s form of the Karush–Kuhn–Tucker conditions forC^2—optimization problems.We shall show that such systems often represent conditionsfor critical points of variational problems(nonlinear programs, complementarity problems, generalized equations, equilibrium problems and others).Our main purpose is to point out how different conceptsof generalized derivatives lead to characterizations ofdifferent Lipschitz properties of the critical point or thestationary solution set maps.