| 書(shū)目名稱 | Large-Scale and Distributed Optimization |
| 編輯 | Pontus Giselsson,Anders Rantzer |
| 視頻video | http://file.papertrans.cn/582/581426/581426.mp4 |
| 概述 | Contributes to current and upcoming research on large-scale and distributed optimization.Covers the increasingly important tools and methods for large-scale optimization.Offers a valuable source of in |
| 叢書(shū)名稱 | Lecture Notes in Mathematics |
| 圖書(shū)封面 |  |
| 描述 | This book presents tools and methods for large-scale and distributed optimization. Since many methods in "Big Data" fields rely on solving large-scale optimization problems, often in distributed fashion, this topic has over the last decade emerged to become very important. As well as specific coverage of this active research field, the book serves as a powerful source of information for practitioners as well as theoreticians..Large-Scale and Distributed Optimization.?is a unique combination of contributions from leading experts in the field, who were speakers at the LCCC Focus Period on Large-Scale and Distributed Optimization, held in Lund, 14th–16th June 2017. A source of information and innovative ideas for current and future research, this book will appeal to researchers, academics, and students who are interested in large-scale optimization.. |
| 出版日期 | Book 2018 |
| 關(guān)鍵詞 | Large-Scale Optimization; Distributed Optimization; Operator Splitting Methods; Machine Learning; Convex |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-319-97478-1 |
| isbn_softcover | 978-3-319-97477-4 |
| isbn_ebook | 978-3-319-97478-1Series ISSN 0075-8434 Series E-ISSN 1617-9692 |
| issn_series | 0075-8434 |
| copyright | Springer Nature Switzerland AG 2018 |
|Archiver|手機(jī)版|小黑屋|
派博傳思國(guó)際
( 京公網(wǎng)安備110108008328)
GMT+8, 2025-10-7 20:45
發(fā)表于 2025-3-21 20:02:04
