High-Dimensional Optimization and Probability: With a View Towards Data Science
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By Ashkan Nikeghbali (Editor), Panos M. Pardalos (Editor), Andrei M. Raigorodskii (Editor), Michael Th. Rassias (Editor)
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This 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 modern, state-of-the-art, research results and advances in areas including non-convex optimization, decentralized distributed convex optimization, topics on surrogate-based reduced dimension global opt...






















