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For timely dissemination of unpublished works, we have a preprint series, the repORts.

Publications


2015

  • A.M. Tillmann (2015).
    On the Computational Intractability of Exact and Approximate Dictionary Learning. IEEE Signal Processing Letters 22 (1) (2015-): 45-49. [doi] [bib] [ArXiv]
  • A.M. Tillmann (2015).
    Equivalence of Linear Programming and Basis Pursuit. Proc. in Applied Mathematics and Mechanics 15 (1) (2015-): 735-738. [doi] [bib]

2014

  • M. Bergner, M.E. Lübbecke and J.T. Witt (2014).
    A Branch-Price-and-Cut Algorithm for Packing Cuts in Undirected Graphs. In J. Gudmundsson and J. Katajainen (Eds.) Experimental Algorithms - SEA 2014. Springer, Berlin, Lect. Notes Comput. Sci. 8504 pp. 34-45. [pdf] [doi] [bib]
  • M. Sørensen and F.H.W. Dahms (2014).
    A Two-Stage Decomposition of High School Timetabling applied to cases in Denmark. Comput. Oper. Res. 43: 36-49. [pdf] [doi] [bib]
  • C. Büsing and F. D'Andreagiovanni (2014).
    A New Theoretical Framework for Robust Optimization Under Multi-Band Uncertainty. In Helber, St., Breitner, M., Rösch, D. and Schön, C. (Eds.) Operations Research Proceedings 2012. Springer, Berlin, pp. 115-121. [doi] [bib]
  • J. Desrosiers, J.B. Gauthier and M.E. Lübbecke (2014).
    Row-reduced Column Generation for Degenerate Master Problems. European J. Oper. Res. 236 (2): 453-460. [pdf] [doi] [bib]
  • (2014).
    Zukunftsperspektiven des Operations Research: Erfolgreicher Einsatz und Potenziale. In M. Lübbecke, A. Weiler and B. Werners (Eds.) Springer Gabler, [doi] [www] [bib]
  • S. Kirchner and M. Lübbecke (2014).
    Dynamische Vergabe von Patiententerminen in Krankenhäusern. In M. Lübbecke, A. Weiler and B. Werners (Eds.) Zukunftsperspektiven des Operations Research: Erfolgreicher Einsatz und Potenziale. Springer Gabler, [doi] [www] [bib]
  • J.B. Gauthier, J. Desrosiers and M.E. Lübbecke (2014).
    Decomposition theorems for linear programs. Oper. Res. Lett. 42 (8): 553-557. [pdf] [doi] [bib]
  • A.M. Tillmann and M.E. Pfetsch (2014).
    The Computational Complexity of the Restricted Isometry Property, the Nullspace Property, and Related Concepts in Compressed Sensing. IEEE Transactions on Information Theory 60 (2) (2014-): 1248-1259. [doi] [bib] [ArXiv]
  • D.A. Lorenz, M.E. Pfetsch and A.M. Tillmann (2014).
    An Infeasible-Point Subgradient Method Using Adaptive Approximate Projections. Computational Optimization and Applications 57 (2) (2014-): 271-306. [doi] [bib] [ArXiv]
  • A.M. Tillmann, R. Gribonval and M.E. Pfetsch (2014).
    Projection Onto The Cosparse Set is NP-Hard. Proc. ICASSP 2014. pp. 7148-7152. [doi] [bib] [ArXiv]

2013

  • C. Büsing, F. D'Andreagiovanni and A. Raymond (2013).
    Robust optimization under multiband uncertainty. In Cornelissen, K., Hoeksma, R., Hurink, J. and Manthey, B. (Eds.) CTW. CTIT Workshop Proceedings WP 13-01: pp. 35-38. [bib]
  • U. Steglich, T. Bauschert, C. Büsing and M. Kutschka (2013).
    A Generic Multi-layer Network Optimization Model with Demand Uncertainty. U. Steglich, T. Bauschert, C. Büsing and M. Kutschka Advances in Communication Networking - 19th EUNICE/IFIP WG 6.6 International Workshop. Springer Berlin Heidelberg, Lect. Notes Comput. Sci. 8115: pp. 13-24. [doi] [bib]
  • M. Walter and K. Truemper (2013).
    Implementation of a unimodularity test. Math. Program. Ser. C 5 (2013-): 57-73. [bib]
  • A.M. Tillmann (2013).
    Computational Aspects of Compressed Sensing. Doctoral Dissertation, TU Darmstadt [www] [bib]

2012

  • F. Hennig, B. Nygreen and M.E. Lübbecke (2012).
    Nested column generation applied to the crude oil tanker routing and scheduling problem with split pickup and split delivery. Naval Res. Logist. 59 (2012-): 298-310. [pdf] [doi] [bib]
  • G. Lach and M.E. Lübbecke (2012).
    Curriculum based course timetabling: New solutions to Udine benchmark instances. Ann. Oper. Res. 194 (1): 255-272. [pdf] [doi] [bib]
  • M.E. Lübbecke (2012).
    Automatic Decomposition and Branch-and-Price–A Status Report. M.E. Lübbecke Experimental Algorithms. Springer, Berlin Lect. Notes Comput. Sci. 7276: pp. 1-8. [pdf] [doi] [bib]
  • C. Büsing (2012).
    Recoverable robust shortest path problems. Networks 59: 181-189. [doi] [bib]
  • C. Büsing and F. D'Andreagiovanni (2012).
    New results about multi-band uncertainty in Robust Optimization. C. Büsing and F. D'Andreagiovanni Experimental Algorithms - SEA 2012. Springer Berlin Heidelberg, Lect. Notes Comput. Sci. 7276: pp. 63-74. [doi] [bib]
  • C. Büsing and G. Hoever (2012).
    Kreuz und quer durchs Land der Graphen - Projekte aus der Graphentheorie für Schülerinnen und Schüler. Der Mathematikunterricht 58: 52-63. [bib]
  • M.E. Lübbecke and Chr. Puchert (2012).
    Primal Heuristics for Branch-and-Price Algorithms. In D. Klatte, H.-J. Lüthi and K. Schmedders (Eds.) Operations Research Proceedings 2011. Springer, Berlin pp. 65-70. [doi] [bib]
  • M. Walter (2012).
    Sparsity of Lift-and-Project Cutting Planes. In Helber, S., Breitner, M., Rösch, D., Schön, C., Graf von der Schulenburg, J.-M., Sibbertsen, P., Steinbach, M., Weber, S. and Wolter, A. (Eds.) Operations Research Proceedings 2012. Springer International Publishing, [doi] [www] [bib]
  • S. Wenger, M. Ament, S. Guthe, D. Lorenz, A.M. Tillmann, D. Weiskopf and M. Magnor (2012).
    Visualization of Astronomical Nebulae via Distributed Multi-GPU Compressed Sensing Tomography. IEEE Transactions on Visualization and Computer Graphics 18 (12) (2012-): 2188-2197. [doi] [bib]

2011

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