Constraint qualifications in quasidifferentiable optimization
Copyright policy )Constraint qualifications in quasidifferentiable optimization
The paper is devoted to inequality-constrained optimization problems with quasi-differentiable data, for which a qualification is said to hold if the null vector is a solution of the ``quasilinearized'' problem. The main result is that five qualification conditions can be ordered in such a way that each of them implies the one that follows.
info:eu-repo/classification/ddc/330, 330, convexity, ddc:330, Economics, Nonsmooth analysis, linearization, Nonlinear programming, inequality-constrained optimization, quasi- differentiable data, Optimality conditions for free problems in two or more independent variables
info:eu-repo/classification/ddc/330, 330, convexity, ddc:330, Economics, Nonsmooth analysis, linearization, Nonlinear programming, inequality-constrained optimization, quasi- differentiable data, Optimality conditions for free problems in two or more independent variables
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