| 書目名稱 | High-Dimensional Optimization and Probability | | 副標(biāo)題 | With a View Towards | | 編輯 | Ashkan Nikeghbali,Panos M. Pardalos,Michael Th. Ra | | 視頻video | http://file.papertrans.cn/427/426570/426570.mp4 | | 概述 | Provides new directions for further research.Features highly interdisciplinary topics.Serves as a reference to a large community of researchers | | 叢書名稱 | Springer Optimization and Its Applications | | 圖書封面 |  | | 描述 | 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 optimization in process systems engineering, the projection of a point onto a convex set, optimal sampling for learning sparse approximations in high dimensions, the split feasibility problem, higher order embeddings, codifferentials and quasidifferentials of the expectation of nonsmooth random integrands, adjoint circuit chains associated with a random walk, analysis of the trade-off between sample size and precision in truncated ordinary least squares, spatial deep learning, efficient location-based tracking for IoT devices using compressive sensing and machine learning techniques, and nonsmooth mathematical programs with vanishing constraints in Banach spaces..The book is a valuable source for gr | | 出版日期 | Book 2022 | | 關(guān)鍵詞 | high-dimensional optimization; deterministic global optimization; probability theory; data science; mach | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-031-00832-0 | | isbn_softcover | 978-3-031-00834-4 | | isbn_ebook | 978-3-031-00832-0Series ISSN 1931-6828 Series E-ISSN 1931-6836 | | issn_series | 1931-6828 | | copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
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