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Large-scale and distributed optimization

SpringerLink (Online service)

Large-scale and distributed optimization

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Large-scale and distributed optimization/ edited by Pontus Giselsson, Anders Rantzer.
其他作者:	Giselsson, Pontus.
出版者:	Cham :Springer International Publishing : : 2018.,
面頁冊數:	xiii, 412 p. :ill. (some col.), digital ; : 24 cm.;
Contained By:	Springer eBooks
標題:	Mathematical optimization. -
電子資源:	https://doi.org/10.1007/978-3-319-97478-1
ISBN:	9783319974781

Large-scale and distributed optimization
Large-scale and distributed optimization[electronic resource] /edited by Pontus Giselsson, Anders Rantzer. - Cham :Springer International Publishing :2018. - xiii, 412 p. :ill. (some col.), digital ;24 cm. - Lecture notes in mathematics,22270075-8434 ;. - Lecture notes in mathematics ;1943..

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.

ISBN: 9783319974781

Standard No.: 10.1007/978-3-319-97478-1doiSubjects--Topical Terms:

527675
Mathematical optimization.

LC Class. No.: QA402.5 / .L374 2018

Dewey Class. No.: 519.6

Large-scale and distributed optimization
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520 $a 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.
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