Veröffentlichungen 2009


  1. A

    1. T. B. Adler, F. R. Manby, and H.-J. Werner, “Local explicitly correlated second-order perturbation theory for the accurate treatment of large molecules,” Journal of Chemical Physics, vol. 130, no. 5, p. 054106, 2009.
    2. T. B. Adler and H.-J. Werner, “Local explicitly correlated coupled-cluster methods: Efficient removal of the basis set incompleteness and domain errors,” Journal of Chemical Physics, vol. 130, no. 24, p. 241101, 2009.
    3. A. Alke, D. Bothe, M. Kröger, B. Weigand, D. Weirich, and H. Weking, “Direct numerical simulation of high Schmidt number mass transfer from air bubbles rising in liquids using the Volume-of-Fluid-Method,” Dispersed Multiphase Flow: From Micro- to Maco-Scale Numerical Modelling, vol. 0, pp. 1--10, 2009.
    4. C. Altmann, G. Gassner, F. Lörcher, and C.-D. Munz, “A Space-Time Expansion Discontinuous Galerkin Scheme with Local Time-Stepping for the Ideal and Viscous MHD Equations,” IEEE Transactions on Plasma Science, vol. 37, no. 4, pp. 513--519, 2009.
    5. F. Armero and C. Linder, “Numerical simulation of dynamic fracture using finite elements with embedded discontinuities,” International Journal of Fracture, vol. 160, no. 2, pp. 119--141, 2009.
  2. B

    1. D. Balsara, T. Rumpf, M. Dumbser, and C.-D. Munz, “Efficient, high accuracy ADER-WENO schemes for hydrodynamics and divergence-free magnetohydrodynamics,” Journal of Computational Physics, vol. 228, no. 7, pp. 2480--2516, 2009.
    2. N. S. Bar and N. Radde, “Long-term prediction of fish growth under varying ambient temperature using a multiscale dynamic model,” BMC Syst. Biol. 3:107, vol. 3, no. 107, 2009.
    3. J. Behrens and M. Bader, “Efficiency considerations in triangular adaptive mesh refinement,” Philosophical Transactions of the Royal Society A, vol. 367, no. 1907, pp. 4577--4589, 2009.
    4. K. Benkert, B. Müller, and M. Resch, “Reducing turn-around times for supernova simulations,” GSIS Interdisciplinary Information Sciences, vol. 15, no. 1, pp. 91--98, 2009.
    5. A. Benzing, K. Herrmann, B. Koldehofe, and K. Rothermel, “Identifying the Challenges in Reducing Latency in GSN using Predictors,” Electronic Communications of the EASST, vol. 17, 2009.
    6. G. Betz, “What range of future scenarios should climate policy be  based on? - Modal falsificationism and its limitations,” Philosophia naturalis, vol. 0, 2009.
    7. G. Betz, “Underdetermination, Model-ensembles and Surprises -  On the Epistemology of Scenario-analysis in Climatology,” Journal for General Philosophy of Science, vol. 40, no. 1, 2009.
    8. C. Breindl, S. Waldherr, A. Hausser, and F. Allgöwer, “Modeling cofilin mediated regulation of cell migration as a biochemical two-input switch,” Proc. of the 3rd Foundations of Systems Biology in Engineering (FOSBE), vol. 0, pp. 60--63, 2009.
    9. C. Breindl and F. Allgöwer, “Veriffication of multistability in gene regulation networks: A combinatorial approach,” Proc. IEEE Conference on Decision and Control (2009), vol. 0, pp. 5637--5642, 2009.
    10. C. Böhm, F. Heß, R. Findeisen, and F. Allgöwer, “An NMPC Approach to Avoid Weakly Observable Trajectories,” Nonlinear Model Predictive Control - Towards New Challenging Applications. LNCIS., vol. 384, pp. 275--284, 2009.
    11. C. Böhm, T. Raff, M. Reble, and F. Allgöwer, “LMI-based Model Predictive Control for Linear Discrete-Time Periodic Systems,” Nonlinear Model Predictive Control - Towards New Challenging Applications. LNCIS., vol. 384, pp. 99--108, 2009.
    12. C. Böhm, M. Merk, W. Fichter, and F. Allgöwer, “Spacecraft Rate Damping with Predictive Control Using Magnetic Actuators Only,” Nonlinear Model Predictive Control - Towards New Challengin Applications. LNCIS., vol. 384, pp. 511--520, 2009.
    13. C. Böhm, R. Findeisen, and F. Allgöwer, “Predictive control for lure systems subject to constraints using LMIs,” European Control Conference, vol. 0, pp. 3389--3394, 2009.
  3. C

    1. Y. Cao, R. Helmig, and B. Wohlmuth, “Geometrical interpretation of the multipoint flux approximation L-method,” International Journal for Numerical Methods in Fluids, vol. 60, no. 11, pp. 1173--1199, 2009.
    2. J. J. Cerda, B. Qiao, and C. Holm, “Modeling strategies for polyelectrolyte multilayers,” European Physical Journal-special Topics, vol. 177, no. 1, 2009.
  4. D

    1. M. Darcis, H. Class, and B. Flemisch, “Coupling Models of Different Complexity for the Simulation of CO2 Storage in Saline Aquifers,” Energy Procedia, vol. 1, pp. 1767--1774, 2009.
    2. M. Drohmann, B. Haasdonk, and M. Ohlberger, “Reduced Basis Method for Finite Volume Approximation of Evolution Equations on Parametrized Geometries,” ALGORITMY 2009, International Conference on Scientific Computation, vol. 0, pp. 111--120, 2009.
  5. E

    1. P. Eberhard, J. Fehr, and S. Mathuni, “Influence of Model Reduction Techniques on the Impact Force Calculation of Two Flexible Bodies,” PAMM, vol. 9, pp. 111--112, 2009.
    2. W. Ehlers, B. Markert, and O. Röhrle, “Computational Continuum Biomechanics with Application to Swelling Media and Growth Phenomena,” GAMM-Mitteilungen, vol. 32, no. 2, pp. 135--156, 2009.
    3. W. Ehlers and A. Acartürk, “The Role of Weakly Imposed Dirichlet Boundary Conditions for Numerically Stable Computations of Swelling Phenomena,” Computational Mechanics, vol. 43, no. 4, pp. 545--557, 2009.
    4. W. Ehlers, N. Karajan, and B. Markert, “An Extended Biphasic Model for Charged Hydrated Tissues with Application to the Intervertebral Disc,” Biomechanics and Modeling in Mechanobiology, vol. 8, no. 3, pp. 233--251, 2009.
    5. R. M. Esfanjani, M. Reble, U. Münz, S. K. Y. Nikravesh, and F. Allgöwer, “Model Predictive Control of Constrained Nonlinear Time-Delay Systems,” Proc.  IEEE Conference on Decision and Control, vol. 0, pp. 1324--1329, 2009.
  6. F

    1. M. Falk, M. Klann, M. Reuss, and T. Ertl, “Visualization of Signal Transduction Processes in the Crowded Environment of the Cell,” Proceedings of IEEE Pacific Visualization Symposium 2009 (PacificVis ’09), vol. 0, pp. 169--176, 2009.
    2. F. Fleissner, T. Haag, M. Hanss, and P. Eberhard, “Uncertainty Analysis for a Particle Model of Granular Chute Flow,” Computer Modeling in Engineering and Sciences, vol. 52, no. 2, pp. 181--196, 2009.
    3. S. Frey, C. Mueller, M. Strengert, and T. Ertl, “Concurrent CT Reconstruction and Visual Analysis using Hybrid Multi-Resolution Raycasting in a Cluster Environment,” ISVC 09 Proceedings of the 5th International Symposium on Advances in Visual Computing, vol. 0, 2009.
    4. J. Fritz, I. Neuweiler, and W. Nowak, “Application of FFT-based Algorithms for Large-Scale Universal Kriging Problems,” Mathematical Geosciences, vol. 51, no. 5, pp. 199--221, 2009.
  7. G

    1. G. Gassner, C. Altmann, F. Hindenlang, M. Staudenmaier, and C.-D. Munz, “Explicit Discontinuous Galerkin Schemes with Adaption in Space and Time,” VKI Lecture Series, vol. 0, 2009.
    2. G. Gassner, F. Lörcher, C.-D. Munz, and J. S. Hesthaven, “Polymorphic Nodal Elements and their Application in Discontinuous Galerkin Methods,” Journal of Computational Physics, vol. 228, no. 5, pp. 1573--1590, 2009.
    3. M. Gauger, P. J. Marrón, D. Kauker, and K. Rothermel, “Low Overhead Assignment of Symbolic Coordinates in Sensor Networks,” Telecommunication Systems, vol. 40 (3–4), pp. 117--128, 2009.
    4. J. Giesselmann, “A convergence result for finite volume schemes on Riemannian manifolds,” Mathematical Modelling and Numerical Analysis, vol. 43, no. 6, pp. 929--956, 2009.
    5. K. Grass, C. Holm, and G. W. Slater, “Optimizing End-Labeled Free-Solution Electrophoresis by Increasing the Hydrodynamic Friction of the Drag Tag,” Macromolecules, vol. 42, no. 14, 2009.
    6. K. Groh and S. Röck, “A Contribution to Collision-Free Trajectory Planning for Handling Systems in Varying Environments,” Production Engineering Research & Development, vol. 4, no. 1, 2009.
    7. E. Gürses and C. Miehe, “A computational framework of three-dimensional configurational-force-driven brittle crack propagation,” Computer Methods in Applied Mechanics and Engineering, vol. 198, pp. 1413--1428, 2009.
  8. H

    1. B. Haasdonk and M. Ohlberger, “Space-Adaptive Reduced Basis Simulation for Time-Dependent Problems,” Proceedings MATHMOD 09 Vienna - Full Papers CD Volume, vol. 0, 2009.
    2. B. Haasdonk and M. Ohlberger, “Efficient Reduced Models for Parametrized Dynamical Systems by Offline/Online Decomposition,” Proceedings MATHMOD 09 Vienna - Full Papers CD Volume, vol. 0, 2009.
    3. B. Haasdonk and M. Ohlberger, “Reduced basis method for explicit finite volume approximations of nonlinear conservation laws,” Proceedings of Symposia in Applied Mathematics, pp. 605--614, 2009.
    4. C. Hager and B. Wohlmuth, “Nonlinear complementarity functions for plasticity problems with frictional contact,” Computer Methods in Applied Mechanics and Engineering, vol. 198 (41–44), pp. 3411--3427, 2009.
  9. I

    1. T. B. Ionescu, A. Piater, W. Scheuermann, E. Laurien, and A. Iosup, “An Aspect-Oriented Approach for Disaster Prevention Simulation Workflows on Supercomputers, Clusters, and Grids,” Proceedings of the 13th IEEE/ACM Symposium on Distributed Simulation and Real-Time Applications - ISBN 978-0-7695-3868-6, ISSN 1550-6525, vol. 13, pp. 21--30, 2009.
  10. K

    1. D. Karastoyanova and F. Leymann, “BPELn Aspects: Adapting Service Orchestration Logic,” Web Services, pp. 222--229, 2009.
    2. J. Kelkel and C. Surulescu, “On a stochastic reaction-diffusion system modeling pattern formation on seashells,” Journal of Mathematical Biology, vol. 60, no. 6, 2009.
    3. J. Kelkel and C. Surulescu, “A weak solution approach to a reaction-diffusion system modeling pattern formation on seashells,” Mathematical Methods in the Applied Sciences, vol. 32, no. 17, 2009.
    4. F. Kissling, P. G. LeFloch, and C. Rohde, “A Kinetic Decomposition for Singular Limits of Non-Local Conservation Laws,” Journal of Differential Equations, vol. 247, no. 12, pp. 3338--3356, 2009.
    5. A. Kohler and M. Radetzki, “Modellierung und Simulation von Networks-on-Chip mit OSCI TLM2,” Methoden und Beschreibungssprachen zur Modellierung und Verifikation von Schaltungen und Systemen, vol. 0, pp. 207--216, 2009.
    6. A. Kohler and M. Radetzki, “Fault-Tolerant Architecture and Deflection Routing for Degradable NoC Switches,” Proceedings of the 3rd ACM/IEEE International Symposium on Networks-on-Chip, vol. 0, pp. 22--31, 2009.
    7. A. Kohler and M. Radetzki, “A SystemC TLM2 Model of Communication in Wormhole Switched Networks-on-Chip,” Proceedings of the Forum on Specification and Design Languages, vol. 0, pp. 1--4, 2009.
    8. T. Kurz and P. Eberhard, “Symbolic Modeling and Analysis of Elastic Multibody Systems,” Proceedings of International Symposium on Coupled Methods in Numerical Dynamics, vol. 0, 2009.
    9. J. Kästner, “Umbrella integration in two or more reaction coordinates,” J.Chem. Phys., vol. 131, no. 3, p. 034109, 2009.
  11. L

    1. A. Lachenmann, K. Herrmann, K. Rothermel, and P. J. Marrón, “On meeting lifetime goals and providing constant application quality,” ACM Transactions on Sensor Networks, vol. 5, no. 4, pp. 36:1-36:36, 2009.
    2. M. Lang, S. Waldherr, and F. Allgöwer, “Amplitude distribution of stochastic oscillations in biochemical networks due to intrinsic noise,” PMC Biophysics, vol. 2, p. 10, 2009.
    3. C. Linder and F. Armero, “Finite elements with embedded branching,” Finite Elements in Analysis and Design, vol. 45, no. 4, pp. 280--293, 2009.
  12. M

    1. S. Meyer, H. Simon, and M. Tilebein, “Applying agent based modelling to integrate bounded rationality in organizational management research,” 42nd Hawaii International Conference on System Science, pp. 1--10, 2009.
    2. C. Miehe, S. Göktepe, and J. Mendez Diez, “Finite viscoplasticity of amorphous glassy polymers in the logarithmic strain space,” International Journal of Solids and Structures, vol. 46, no. 1, pp. 181--202, 2009.
    3. U. Münz, A. Papachristodoulou, and F. Allgöwer, “Generalized Nyquist Consensus Condition for Linear Multi-Agent Systems with Heterogeneous Delays,” Proc. 1st IFAC Workshop on Estimation and Control of Networked Systems (NecSys ’09), vol. 0, pp. 24--29, 2009.
    4. U. Münz, C. Böhm, J. Eck, M. Reble, P. Schumm, and F. Allgöwer, “A Matlab-Based Game for Advanced Automatic Control Education,” Proc.  8th IFAC Conference on Advances in Control Education, vol. 0, pp. 140--145, 2009.
    5. U. Münz, A. Papachristodoulou, and F. Allgöwer, “Generalized Nyquist Consensus Condition for High-Order LinearMulti-Agent Systems with Communication Delays,” IEEE Conf. on Decision and Control, vol. 0, pp. 4765--4771, 2009.
    6. U. Münz, A. Papachristodoulou, and F. Allgöwer, “Consensus reaching in multi-agent packet-switched networks with non-linear coupling,” International Journal of Control, vol. 82, no. 9, pp. 953--969, 2009.
  13. N

    1. J. Niessner and M. Hassanizadeh, “Modeling Kinetic Interphase Mass Transfer for Two-Phase Flow in Porous Media Including Fluid-Fluid Interfacial Area,” Transport in Porous Media, vol. 80, pp. 329--344, 2009.
    2. J. Niessner and R. Helmig, “Multi-physics modeling of flow and transport in porous media using a downscaling approach,” Advances in Water Resources, vol. 32, no. 6, pp. 845--850, 2009.
    3. J. Niessner and S. M. Hassanizadeh, “Non-equilibrium interphase heat and mass transfer during two-phase flow in porous media-Theoretical considerations and modeling,” Advances in Water Resources, vol. 32, pp. 1756--1766, 2009.
    4. W. Nowak, “Best Unbiased Ensemble Linearization and the Quasi-Linear Kalman Ensemble Generator,” Water Resources Research, vol. 45, p. W04431, 2009.
  14. O

    1. S. Ostritsch, “Simulation: Games, Art and Science,” Proceedings of the Philosophy of Computer Games Conference 2009, vol. 0, 2009.
  15. P

    1. E. Pekalska and B. Haasdonk, “Kernel Quadratic Discriminant Analysis for Positive Definite and Indefinite Kernels,” IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), vol. 31, no. 6, pp. 1017--1032, 2009.
    2. T. A. Prokopieva, V. A. Danilov, S. S. Kantorovich, and C. Holm, “Ground state structures in ferrofluid monolayers,” Physical Review E, vol. 80, no. 3, 2009.
  16. R

    1. N. Radde, N. S. Bar, and A. Tresch, “A comparison of likelihoods for dynamic stochastic models of biological networks,” Proceedings of Workshop of Computational Biology (WCSB09), vol. 0, pp. 131--134, 2009.
    2. S. Radeschütz and B. Mitschang, “Extended Analysis Techniques for a Comprehensive Business Process Optimization,” Proc. of the International Conference on Knowledge Management and Information Sharing (KMIS), 2009.
    3. S. Rafler, M. Petschow, U. Seifert, K. Frenner, J. Göckeritz, and W. Osten, “Effects of pupil discretization and Littrow illumination in the simulation of bright-field defect detection,” Optics Letters, vol. 34, no. 12, pp. 1840--1842, 2009.
    4. G. Rauhut, G. Knizia, and H.-J. Werner, “Accurate calculation of anharmonic vibrational frequencies using explicitly correlated coupled-cluster theory,” Journal of Chemical Physics, vol. 130, no. 5, p. 054105, 2009.
    5. M. Reble, C. Böhm, and F. Allgöwer, “Nonlinear Model Predictive Control for Periodic Systems using LMIs,” Proc. European Control Conference, vol. 0, 2009.
    6. M. Resch and E. Gabriel, “Supercomputers in grids,” International Journal of Grid and High Performance Computing, vol. 1, no. 1, pp. 1--9, 2009.
    7. S. Roller, M. Resch, M. Galle, and W. Bez, “The Teraflop Workbench - Enhancing High Sustained Performance on Vector Systems,” GSIS Interdisciplinary Information Sciences, 2009.
    8. O. Röhrle, J. N. Waddell, K. D. Foster, H. Saini, and A. J. Pullan, “Using a Motion-Capture System to Record Dynamic Articulation for Application in CAD/CAM Software,” Journal of Prosthodontics, vol. 18, no. 8, pp. 703--710, 2009.
    9. O. Röhrle, “Simulating the Electro-Mechanical Behavior of Skeletal Muscles,” Computing in Science and Engineering, vol. 12, no. 6, 2009.
    10. F. Rösch and H.-R. Trebin, “Crack front propagation by kink formation,” EPL, vol. 87, no. 6, p. 66004, 2009.
    11. F. Rösch and H.-R. Trebin, “Brittle fracture in a complex metallic compound from an atomistic viewpoint: NbCr2, a case study,” EPL, vol. 85, no. 5, p. 56002, 2009.
  17. S

    1. H. Saini, J. N. Waddell, A. J. Pullan, and O. Röhrle, “Automatically Generating Subject-Specific Functional Tooth Surfaces Using Virtual Mastication,” Annals of Biomedical Engineering, vol. 37, no. 8, pp. 1646--1653, 2009.
    2. W. Schiehlen, P. Eberhard, C. Henninger, and T. Kurz, “Symbolical Equations of Motion for Vehicle System Analysis and Synthesis,” Proceedings of 7th EUROMECH Solid Mechanics Conference, vol. 0, 2009.
    3. J. Schlottke, E. Dülger, and B. Weigand, “A VOF-Based 3D Numerical Investigation of evaporating, deformed Droplets,” Progress In Computational Fluid Dynamics, vol. 9 (6/7), pp. 426--435, 2009.
    4. G. S. Schmidt, U. Münz, and F. Allgöwer, “Multi-Agent Speed Consensus using Delayed Position  Feedback with Application to Kuramoto Oscillators,” Proceedings of the European Control Conference, vol. 0, pp. 2464--2469, 2009.
    5. M. Schweitzer, “An adaptive hp-version of the multilevel particle-partition of unity method,” Computer Methods in Applied Mechanics and Engineering, vol. 198, no. 13, pp. 1260--1272, 2009.
    6. M. Schweitzer, “An Algebraic Treatment of Essential Boundary Conditions in the Particle-Partition of Unity Method,” SIAM Journal on Scientific Computing, vol. 31, no. 2, pp. 1581--1602, 2009.
    7. P. Sekler and A. Verl, “Real-Time Computation of the System Behaviour of Lightweight Machines,” IEEE Computer Society, Simul 2009, vol. 1, pp. 144--147, 2009.
    8. J. Smiatek, M. Sega, C. Holm, U. D. Schiller, and F. Schmid, “Mesoscopic simulations of the counterion-induced electro-osmotic flow: A comparative study,” Journal of Chemical Physics, vol. 130, no. 24, 2009.
    9. I. Steinwart and M. Anghel, “An SVM approach for forecasting the evolution of an unknown ergodic dynamical system from observations with unknown noise,” Annals of Statistics, vol. 37, no. 2, pp. 841--875, 2009.
    10. V. Stolarski and M. Tilebein, “Diversity as a knowledge resource in top management teams - a framework for agent based modelling,” 42nd Hawaii International Conference on System Science, pp. 1--10, 2009.
    11. M. Strengert, C. Müller, C. Dachsbacher, and T. Ertl, “A compute unified system architecture for graphics clusters incorporating data locality,” IEEE Transactions on Visualization and Computer Graphics, vol. 15, no. 4, pp. 605--617, 2009.
    12. M. Suezen, M. Sega, and C. Holm, “Ensemble inequivalence in single-molecule experiments,” Physical Review E, vol. 79, no. 5, 2009.
  18. T

    1. H.-R. Trebin et al., “Simulating structure and physical properties of complex metallic alloys,” Properties and applications of complex intermetallics, vol. 0, pp. 291--329, 2009.
  19. W

    1. S. Waldherr, F. Allgöwer, and E. W. Jacobsen, “Kinetic perturbations as robustness analysis tool for biochemical reaction networks,” Proc. of the IEEE Conf. Dec. Contr. (CDC), vol. 48, pp. 4572--4577, 2009.
    2. S. Waldherr, J. Hasenauer, and F. Allgöwer, “Estimation of biochemical network parameter distributions in cell populations,” In Proc. of 15th IFAC Symposium on System Identification, 2009, vol. 15, no. 1, pp. 1265--1270, 2009.
    3. A. Weiss and B. Wohlmuth, “A posteriori error estimator and error control for contact problems,” Math. Comp., vol. 78, no. 267, pp. 1237--1267, 2009.
    4. H. Weking, C. Huber, and B. Weigand, “Direct Numerical Simulation of Single Gaseous Bubbles in Viscous Liquids,” High Performance Computing in Science and Engineering ’ 09: Transactions of the High Performance Computing Center, Stuttgart (HLRS) 2009, vol. 0, pp. 273--286, 2009.
    5. P. Wieland and F. Allgöwer, An Internal Model Principle for Synchronization, vol. 0. 2009.
    6. P. Wieland and F. Allgöwer, “An Internal Model Principle for Consensus in Heterogeneous Linear Multi-Agent Systems,” Estimation and Control of Networked Systems, vol. 0, pp. 7--12, 2009.
  20. Y

    1. S. Yu, C. Böhm, H. Chen, and F. Allgöwer, “Moving horizon l2 control of LPV systems subject to constraints,” 14th Conference on Methods and Models in Automation and Robotics, vol. 14, no. 1, pp. 354--359, 2009.
    2. S. Yu, H. Chen, C. Böhm, and F. Allgöwer, “Enlarging the Terminal Region of NMPC with Parameter-Dependent Terminal Control Law,” Nonlinear Model Predictive Control - Towards New Challenging Applications. LNCIS., vol. 384, pp. 69--78, 2009.
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