Call for Papers Mathematical Programming, Series B Special Issue
Transcription
Call for Papers Mathematical Programming, Series B Special Issue
Call for Papers Mathematical Programming, Series B Special Issue on Optimization Models and Algorithms for Data Science Data and decisions are more strongly linked in the information age than ever before. This special issue focuses on modelling and optimization approaches that deal with large data sets, as well as applications from business analytics and machine learning that have emerged in the last decades as data accumulates from multiple sources such as internet traffic, social and sensor networks. Successful submissions to this call are expected to provide a substantial methodological contribution to - data-related modelling issues in optimization, such as tractable reformulations of problems involving uncertain data (e.g. using stochastic, robust or data-driven optimization techniques); or - numerical solution schemes for optimization problems involving large data sets, such as solution approaches for large, sparse optimization problems or real-time optimization methods. This call is being advertised via the British-French-German Conference on Optimization 2015 (optimisation.doc.ic.ac.uk/bfg2015). Attendance at the conference is not a pre-requisite for submitting a paper to the special issue, however. Authors should submit their papers via http://www.editorialmanager.com/mapr/ and select article type "S.I.: Data Science — Series B" for consideration in this special issue. Papers will be refereed according to the standards of Mathematical Programming, Series A. We are requesting that all papers be submitted using MP style files, and conform to a maximum of 25 pages. The necessary LaTeX files can be downloaded at www.eng.cam.ac.uk/~dr241/MPB/MPBSpringer-latex-style-files.zip. Deadline for submission of full papers: December 1, 2015. We aim at completing a first review of all submissions by May 15, 2016. Additional information about the special issue can be obtained from the guest editors. Guest Editors: Ruth Misener Department of Computing Imperial College London London SW7 2AZ, U.K. [email protected] Danny Ralph Judge Business School University of Cambridge Cambridge CB2 1AG, U.K. [email protected] Panos Parpas Department of Computing Imperial College London London SW7 2AZ, U.K. [email protected] Wolfram Wiesemann Imperial College Business School Imperial College London London SW7 2AZ, U.K. [email protected]