• Schenk, O., Wächter, A. & Hagemann, M. (2007). Matching-based preprocessing algorithms to the solution of saddle-point problems in large-scale nonconvex interior-point optimization. Computational Optimization and Applications, , 321 - 341. [More] [Bibtex] [RIS]
  • Schenk, O., Bollhöfer, M. & Römer, R. A. (2007). On large-scale diagonalization techniques for the Anderson model of localization. SIAM Journal on Scientific Computing, , 963 - 983. [More] [Bibtex] [RIS]
  • Christen, M., Schenk, O. & Burkhart, H (2007). General-Purpose Sparse Matrix Building Blocks using the NVIDIA CUDA Technology Platform. In First Workshop on General Purpose Processing on Graphics Processing Units. [More] [Bibtex] [RIS]


  • Schenk, O. & Gaertner, K. (2006). Fast Factorization Pivoting Methods for Sparse Symmetric Indefinite Systems. Electronic Transactions on Numerical Analysis, , 158 - 179. [More] [Bibtex] [RIS]
  • Röllin, S. & Schenk, O (2006). Maximum-Weighted Matching Strategies and the Application to Symmetric Indefinite Systems. In Part of the Lecture Notes in Computer Science book series (LNCS, volume 3732), pages 808 - 817. Lecture Notes in Computer Science, vol 3732. Springer, Berli. [More] [Bibtex] [RIS]
  • Hagemann, M. & Schenk, O. (2006). Weighted Matchings for Preconditioning Symmetric Indefinite Linear Systems. SIAM Journal on Scientific Computing, , 403 - 420. [More] [Bibtex] [RIS]
  • Schenk, O., Bollhöfer, M. & Römer, R. A. (2006). On Large-Scale Diagonalization Techniques for the Anderson Model of Localization. SIAM Journal on Scientific Computin, , 963 - 983. [More] [Bibtex] [RIS]
  • Bollhöfer, M. & Schenk, O. (2006). Combinatorial Aspects in Sparse Elimination Methods. GAMM-Mitteilungen, , 342 - 367. [More] [Bibtex] [RIS]
  • Bollhöfer, M., Grote, M. & Schenk, O (2006). Algebraic Multilevel Preconditioning to Helmholtz Equation. In In Proc. of Europ. Conf. on Comput. Fluid Dynamics (ECCOMAS CFD 2006. [More] [Bibtex] [RIS]


  • Banushkina, P., Schenk, O. & Meuwly, M (2005). Efficiency Considerations in Solving Smoluchowski Equations for Rough Potentials. In First International Symposium on Computational Life Sciences, CompLife, pages 208 - 216. Springer Berlin Heidelberg. [More] [Bibtex] [RIS]
  • Arbenz, P., Burkhart, H., Maehle, E. & Schenk, O. (2005). Special section: SPEEDUP Workshop on Modern algorithms in computational science and information technology. Future Generation Computer Systems, , 1249 - 1250. [More] [Bibtex] [RIS]
  • Schenk, O. & van der Vorst, H (2005). Solution of Linear Systems, pages 755 - 824. Elsevier Science. [More] [Bibtex] [RIS]


  • Schenk, O. & Gaertner, K. (2004). Solving unsymmetric sparse systems of linear equations with PARDISO. Future Generation Computer Systems, , 475 - 487. [More] [Bibtex] [RIS]
  • Fürlinger, K., Schenk, O. & Hagemann, M (2004). Task-Queue Based Hybrid Parallelism: A Case Study. In Springer, Berlin & Heidelberg (editors), proceedings of the European Conference on Parallel Processing, pages 624 - 631. Springer Berlin Heidelberg. [More] [Bibtex] [RIS]
  • Schenk, O., Rollin, S. & Gupta, A. (2004). The effects of unsymmetric matrix permutations and scalings in semiconductor device and circuit simulation. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, , 400 - 411. [More] [Bibtex] [RIS]
  • Schenk, O. & Hillmann, M. (2004). Optimal design of metal forming die surfaces with evolution strategies. Computers & Structures, , 1695 - 1705. [More] [Bibtex] [RIS]


  • Schenk, O., Hagemann, M. & Röllin, S (2003). Recent Advances in Sparse Linear Solver Technology for Semiconductor Device Simulation Matrices. In. [More] [Bibtex] [RIS]
  • Schenk, O. & Selig, M (2003). Advancing Crash Forming Capabilities through Solver Technology. In Proc. of the Second MIT Conference on Computational Fluid and Solid Mechanics. [More] [Bibtex] [RIS]


  • Schenk, O. & Gaertner, K. (2002). Solving Unsymmetric Sparse Systems of Linear Equations with PARDISO. Future Generation Computer Systems, , 475 - 487. [More] [Bibtex] [RIS]
  • Schenk, O. & Gaertner, K. (2002). Two-level dynamic scheduling in PARDISO: Improved scalability on shared memory multiprocessing systems. Parallel Computing, , 187 - 197. [More] [Bibtex] [RIS]


  • Krause, R. & Wohlmuth, B. (2001). Domain Decomposition Methods on Nonmatching Grids and Some Applications to Linear Elasticity Problems. Zeitschrift für angewandte Mathematik und Mechanik (ZAMM), 81(1), 21 - 24. [More] [Bibtex] [RIS]

No year

  • Kardoš, J., Kourounis, D. & Schenk, O. Two-Level Parallel Augmented Schur Complement Interior-Point Algorithms for the Solution of Security Constrained Optimal Power Flow Problems. IEEE Transactions on Power Systems, , 1 - 10. [More] [Bibtex] [RIS]
  • Klawonn, A., Lanser, M., Uran, M., Rheinbach, O., Schenk, O., Wellein, G. et al. Towards A Virtual Laboratory - Computation of Forming Limit Curves. Lecture Notes in Computational Science and Engineering, Springer, , 1 - 42. [More] [Bibtex] [RIS]
  • van Niekerk, J., Bakka, H., Rue, H. & Schenk, O. New frontiers in Bayesian modeling using the INLA package in R. Journal of Statistical Software, , 1 - 27. [More] [Bibtex] [RIS]
  • Ghiringhelli, C., Arbia, G. & Mira, A. Estimation of spatial econometric linear models with large datasets: How big can spatial Big Data be?. Regional Science and Urban Economics, , 10 - 20. [More] [Bibtex] [RIS]
Results 201 - 225 of 225


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