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Characterizations of Nonsmooth Robustly Quasiconvex Functions
(Springer New York LLC, 2019)
© 2018, Springer Science+Business Media, LLC, part of Springer Nature. Two criteria for the robust quasiconvexity of lower semicontinuous functions are established in terms of Fréchet subdifferentials in Asplund spaces. ...
Convex and quasiconvex functions in metric graphs
(American Institute of Mathematical Sciences, 2021-12)
We study convex and quasiconvex functions on a metric graph. Given a set of points in the metric graph, we consider the largest convex function below the prescribed datum. We characterize this largest convex function as ...
Second-order characterizations of quasiconvexity and pseudoconvexity for differentiable functions with Lipschitzian derivatives
(Springer, 2020)
For a C-2-smooth function on a finite-dimensional space, a necessary condition for its quasiconvexity is the positive semidefiniteness of its Hessian matrix on the subspace orthogonal to its gradient, whereas a sufficient ...
An optimization algorithm applied to the Morrey conjecture in nonlinear elasticity
(PERGAMON-ELSEVIER SCIENCE LTD, 2007)
For a long time it has been studied whether rank-one convexity and quasiconvexity give rise to different families of constitutive relations in planar nonlinear elasticity. Stated in 1952 the Morrey conjecture says that ...
First- and Second-Order Asymptotic Analysis with Applications in Quasiconvex Optimization
(2016)
We use asymptotic analysis to describe in a more systematic way the behavior at the infinity of functions in the convex and quasiconvex case. Starting from the formulae for the first- and second-order asymptotic function ...
Weak efficiency in multiobjective quasiconvex optimization on the real-line without derivatives
(2009)
This article deals with the problem of the existence of a weakly efficient solution to quasiconvex vector optimization problems in a finite dimensional setting on the real-line. This consideration is motivated by algorithmic ...