Optimizing Large-Scale Linear Energy System Problems with Block Diagonal Structure by Using Parallel Interior-Point Methods

DOI10.1007/978-3-319-89920-6_85zbMath1397.90435OpenAlexW2780937557MaRDI QIDQ4685835

Felix Cebulla, Frederik Fiand, Daniel Rehfeldt, Karl-Kiên Cao, Ambros M. Gleixner, Thomas Breuer, Hans Christian Gils, Dmitry Khabi, Manuel Wetzel, Michael R. Bussieck, Thorsten Koch

Publication date: 9 October 2018

Published in: Operations Research Proceedings (Search for Journal in Brave)

Full work available at URL: http://juser.fz-juelich.de/record/848462/files/OR_paper.pdf

zbMATH Keywords

linear programminginterior-point methodsparallelizationhigh performance computingenergy system models

Mathematics Subject Classification ID

Applications of mathematical programming (90C90) Linear programming (90C05) Interior-point methods (90C51) Deterministic network models in operations research (90B10) Case-oriented studies in operations research (90B90)

Uses Software

• PARDISO
• PIPS
• GAMS

Cites Work

• On fast factorization pivoting methods for sparse symmetric indefinite systems
• Partitioning mathematical programs for parallel solution
• Linear programming. Foundations and extensions