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Optimization and nonsmooth analysis

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TLDR
The Calculus of Variations as discussed by the authors is a generalization of the calculus of variations, which is used in many aspects of analysis, such as generalized gradient descent and optimal control.
Abstract
1. Introduction and Preview 2. Generalized Gradients 3. Differential Inclusions 4. The Calculus of Variations 5. Optimal Control 6. Mathematical Programming 7. Topics in Analysis.

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Exact penalty functions and stability in locally Lipschitz programming

TL;DR: The theory of exact penalty functions for nonlinear programs whose objective functions and equality and inequality constraints are locally Lipschitz are extended and a tight lower bound on the parameter value is provided.
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Optimality Conditions and Duality for Robust Nonsmooth Multiobjective Optimization Problems with Constraints

TL;DR: A robust nonsmooth multiobjective optimization problem related to a multiobjectives optimization with data uncertainty is investigated and the weak, strong and converse robust duality results between the primal one and its dual problems under the generalized convexity assumptions are obtained.
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Metric regularity and subdifferential calculus in Banach spaces

TL;DR: In this article, the authors give verifiable conditions in terms of limiting Frechet subdifferentials ensuring the metric regularity of a multivalued function F(x)=−g(x)+D.
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Open questions

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A derivative-free approximate gradient sampling algorithm for finite minimax problems

TL;DR: A derivative-free optimization algorithm that calculates an approximate gradient for each of the active functions of the finite max function and uses these to generate an approximate subdifferential for finite minimax problems is presented.