Large-Scale and Distributed Optimization (Lecture Notes in Mathematics)
Lecture Notes in Mathematics
暫譯: 大規模與分散優化(數學講義)
Pontus Giselsson (Editor), Anders Rantzer (Editor)
- 出版商: Springer
- 出版日期: 2018-11-12
- 售價: $2,450
- 貴賓價: 9.5 折 $2,328
- 語言: 英文
- 頁數: 428
- 裝訂: Paperback
- ISBN: 3319974777
- ISBN-13: 9783319974774
-
相關分類:
分散式架構、大數據 Big-data
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商品描述
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.
商品描述(中文翻譯)
本書介紹了大規模和分散式優化的工具和方法。由於許多「大數據」領域的方法依賴於解決大規模優化問題,通常以分散的方式進行,因此這個主題在過去十年中變得非常重要。除了具體涵蓋這個活躍的研究領域外,本書也為實務工作者和理論家提供了強大的資訊來源。
《Large-Scale and Distributed Optimization》是來自該領域領先專家的獨特貢獻組合,他們曾在2017年6月14日至16日於隆德舉行的LCCC大規模和分散式優化焦點期間擔任演講者。本書是當前和未來研究的資訊來源和創新想法,將吸引對大規模優化感興趣的研究人員、學者和學生。
