02617nam a2200433 i 4500991003634859707536m o d cr cnu|||unuuu181120s2018 sz a ob 100 0 eng d97833199747813319974785(electronic bk.)9783319974781(electronic bk.)9783319974774(print)10.1007/978-3-319-97478-1doib14363665-39ule_instBibl. Dip.le Aggr. Matematica e Fisica - Sez. Matematicaeng519.3AMS 90-06LC QA3.L28Large-scale and distributed optimization[e-book] /Pontus Giselsson, Anders Rantzer, editorsCham, Switzerland :Springer,20181 online resource (xiii, 412 pages) :illustrations (some color)texttxtrdacontentcomputercrdamediaonline resourcecrrdacarriertext filePDFrdaLecture notes in mathematics,0075-8434 ;2227Includes bibliographical referencesThis 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 optimizationMathematical optimizationCongressesGiselsson, Pontusauthorhttp://id.loc.gov/vocabulary/relators/aut785937Rantzer, Andersauthorhttp://id.loc.gov/vocabulary/relators/aut151527Printed edition:9783319974798An electronic book accessible through the World Wide Webhttps://link.springer.com/book/10.1007/978-3-319-97478-1.b1436366503-03-2203-04-19991003634859707536Large-scale and distributed optimization1749872UNISALENTOle01303-04-19m@ -engsz 00