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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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Finite-Time Stabilization of Delayed Memristive Neural Networks: Discontinuous State-Feedback and Adaptive Control Approach

TL;DR: This paper investigates the finite-time stabilization problem for DMNNs by using the famous finite- time stability theorem and the generalized Lyapunov functional method and designs two classes of novel controllers including discontinuous state-feedback controller and discontinuous adaptive controller.
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Scale of Viability and Minimal Time of Crisis

TL;DR: In this article, the authors introduce and study the minimal time of a crisis map, which measures the minimum time spent outside a given closed domain of constraints by trajectory solutions of a differential inclusion.
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Existence and global exponential stability of periodic solution of memristor-based BAM neural networks with time-varying delays

TL;DR: Under the framework of Filippov solutions, boundedness and ultimate boundedness of solutions of memristor-based BAM neural networks are guaranteed by Chain rule and inequalities technique and a new method involving Yoshizawa-like theorem is favorably employed to acquire the existence of periodic solution.
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Monotone multigrid methodsfor elliptic variational inequalities II

TL;DR: This new approach allows the implementation as a classical V-cycle and preserves the usual multigrid efficiency, and gives estimates for the asymptotic convergence rates.
Journal ArticleDOI

Core Hybrid Event-B I

TL;DR: The whole framework is designed so as to disturb as little as possible the existing structures for handling discrete Event-B, as seamlessly as possible, to encompass continuous behaviours.