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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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A geometrical approach to monotone functions in R n

TL;DR: In this paper, the fine properties of monotone functions on Ω(n)-convex convex functions were studied. Butler et al. studied the continuity and differentiability properties of these functions, the approximability properties, the structure of the distributional derivatives and the weak Jacobians.
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A new technique for inconsistent QP problems in the SQP method

TL;DR: Numerical results are reported which show that this technique for regularizing inconsistent QP problems, combined with a special method for the case of regular subproblems, is quite competitive to highly appreciated established ones.
Journal ArticleDOI

A SEIR model for control of infectious diseases with constraints

TL;DR: This paper proposes the introduction of constraints involving state variables on an optimal control problem applied to a compartmental SEIR (Susceptible. Exposed, Infectious and Recovered) model to study the solution of problems when mixed state control constraints are used to impose upper bounds on the available vaccines.
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An Infeasible Primal-Dual Algorithm for Total Bounded Variation--Based Inf-Convolution-Type Image Restoration

TL;DR: The globalized primal-dual algorithm introduced in this paper works with generalized derivatives, converges locally at a superlinear rate, and is stable with respect to noise in the data.