Efficient traffic assignment for public transit networks Briem, L.; Buck, H. S.; Ebhart, H.; Mallig, N.; Strasser, B.; Vortisch, P.; Wagner, D.; Zündorf, T. 2017. 16th Symposium on Experimental Algorithms (SEA 2017), London, United Kingdom, 21st - 23rd June 2017. Ed.: C. S. Iliopoulos, Art. Nr.: 20, Schloss Dagstuhl - Leibniz-Zentrum für Informatik (LZI). doi:10.4230/LIPIcs.SEA.2017.20
EPSILON @JINR for Geosciences Schilling, F. R.; Müller, B. I. R.; Breuer, S.; Scheffzük, C. 2017. International Conference “Condensed Matter Research at the IBR-2”, Dubna, Moscow region, Russia, 9-12 October 2017
Algorithm Engineering for Large Data Sets Sanders, P. 2017. Helmholtz Portfolio Theme Large-Scale Data Management and Analysis (LSDMA). Ed.: C. Jung, 199–214, KIT Scientific Publishing
LSDMA-Driven Advances in Data Analysis Jejkal, T.; Schuller, B.; Grunzke, R. 2017. Helmholtz Portfolio Theme Large-Scale Data Management and Analysis (LSDMA). Ed.: C. Jung, 179–197, KIT Scientific Publishing
Long-term Access to Data, Communities, Developments and Infrastructure Van Wezel, J.; Bach, F.; Krauss, P.; Kurze, T.; Meyer, J.; Müller-Pfefferkorn, R.; Potthoff, J. 2017. Helmholtz Portfolio Theme Large-Scale Data Management and Analysis (LSDMA). Ed.: C. Jung, 125–140, KIT Scientific Publishing
Managing Large Data Sets in Super-resolution Optical Microscopy Prabhune, A.; Kepper, N.; Aschenbrenner, K.; Butzek, S.; Guthier, C.; Krufczik, M.; Bach, M.; Schmitt, E.; Hausmann, M.; Hesser, J. 2017. Helmholtz Portfolio Theme Large-Scale Data Management and Analysis (LSDMA). Ed.: C. Jung, 41–59, KIT Scientific Publishing