Titlebook: High-Dimensional Optimization and Probability; With a View Towards Ashkan Nikeghbali,Panos M. Pardalos,Michael Th. Ra Book 2022 The Editor

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Surrogate-Based Reduced-Dimension Global Optimization in Process Systems Engineering,ps that describe process systems, and/or their large-scale nature. High dimensional optimization problems can often be more easily solved by instead solving a sequence of reduced-dimension subproblems. Surrogate models can allow the formulation of reduced-dimension subproblems by approximating the k

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A Viscosity Iterative Method with Alternated Inertial Terms for Solving the Split Feasibility Proble self-adaptive stepsize is used. Under appropriate conditions, the proposed algorithm is proved to converge to a solution of the split feasibility problem, which is also the unique solution of a variational inequality problem. Finally, we demonstrate the effectiveness of the algorithm by a numerica

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Efficient Location-Based Tracking for IoT Devices Using Compressive Sensing and Machine Learning Tee. The underlying sparsity properties of the location data are explored and two algorithms based on LASSO regression and neural networks are shown to be able to efficiently reconstruct paths with only ～20% sampling of the GPS receiver. An implementation for iOS devices is discussed and results from

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1931-6828 ersThis volume presents extensive research devoted to a broad spectrum of mathematics with emphasis on interdisciplinary aspects of Optimization and Probability. Chapters also emphasize applications to Data Science, a timely field with a high impact in our modern society. The discussion presents mod

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Efficient Location-Based Tracking for IoT Devices Using Compressive Sensing and Machine Learning Tebe able to efficiently reconstruct paths with only ～20% sampling of the GPS receiver. An implementation for iOS devices is discussed and results from it are shown as proof of concept of the applicability of CS in location-based tracking for Internet of Things (IoT) devices.

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Projection of a Point onto a Convex Set via Charged Balls Method,of the set with nonsmooth boundary, Charged Balls Method still solves the problem quite competitive effectively in comparison with other algorithms. This is confirmed by the results of numerical experiments.