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Optimization and nonsmooth analysis

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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Journal ArticleDOI

Sufficient Conditions for Error Bounds

TL;DR: It turns out that a global error bound closely relates to metric regularity, which is useful for presenting sufficient conditions for an l.s. c.
Journal ArticleDOI

Essentially Smooth Lipschitz Functions

TL;DR: In this paper, the authors examined the relationship between integrability, D-representability, and strict differentiability of locally Lipschitz functions on separable Banach spaces.
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Difference of compact sets in the sense of demyanov and its application to non-smooth analysis

TL;DR: In this paper, the operation of the difference of pairs of convex compacta introduced by Demyanov and the related operation proposed by the authors is investigated and the relationship between the Clarke subdifferential and quasidifferential is clarified.
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Linear programming based Lyapunov function computation for differential inclusions

TL;DR: In this paper, a numerical algorithm for computing Lyapunov functions for strongly asymptotically stable nonlinear differential functions is presented, which includes spatially switched systems and systems with uncertain parameters.