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    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, doi: 10.1063/1.3040174.
    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, doi: 10.1063/1.3160675.
    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, [Online]. Available: http://www.mma.tu-darmstadt.de/media/mma/bilderdateien_5/publication/directnumericalsimulationofhighschmidt.pdf.
    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, doi: 10.1109/TPS.2009.2014869.
    5. É. Archambault, D. Campbell, Y. Gingras, and V. Larivière, “Comparing Bibliometric Statistics Obtained from the Web of Science and Scopus,” Journal of the American Society for Information Science & Technology, vol. 60, no. 7, pp. 1320–1326, 2009, [Online]. Available: http://www.redi-bw.de/db/ebsco.php/search.ebscohost.com/login.aspx%3fdirect%3dtrue%26db%3daph%26AN%3d41331886%26site%3dehost-live.
    6. 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, doi: 10.1007/s10704-009-9413-9.
    7. T. Aven and O. Renn, “The role of quantitative risk assessments for cheracterizing risk and uncertainty and delineating appropriate risk management options, with special emphasis on terrorism risk,” Risk Analysis, vol. 29, no. 4, pp. 587--600, 2009, doi: 10.1111/j.1539-6924.2008.01175.x.
  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, doi: 10.1016/j.jcp.2008.12.003.
    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, doi: 10.1186/1752-0509-3-107.
    3. A. Barth, “Stochastic Partial Differential Equations: Approximations  and Applications,” University of Oslo, CMA, 2009.
    4. 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, doi: 10.1098/rsta.2009.0175.
    5. 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, doi: 10.4036/iis.2009.91.
    6. 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, [Online]. Available: http://journal.ub.tu-berlin.de/index.php/eceasst/article/viewFile/197/203.
    7. G. Betz, “What range of future scenarios should climate policy be  based on? - Modal falsificationism and its limitations,” Philosophia naturalis, vol. 0, 2009, doi: 10.3196/003180209791291918.
    8. 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, doi: 10.1007/s10838-009-9083-3.
    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, doi: 10.1109/CDC.2009.5400809.
    10. 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, [Online]. Available: https://lirias.kuleuven.be/bitstream/123456789/568203/1/BreindlWal2009.pdf.
    11. G. Broll, E. Rukzio, M. Paolucci, M. Wagner, A. Schmidt, and H. Hussmann, “PERCI: Pervasive service interaction with the internet of things,” IEEE Internet Computing, vol. 13, no. 6, pp. 74--81, 2009, doi: 10.1109/MIC.2009.120.
    12. T. Buchukuri, O. Chkadua, D. Natroshvili, and A.-M. Sändig, “Solvability and regularity results to boundary-transmission problems  for metallic and piezoelectric elastic materials,” Mathematische Nachrichten, vol. 282, no. 8, pp. 1079--1110, 2009, doi: 10.1002/mana.200610790.
    13. 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, doi: 10.1007/978-3-642-01094-1_22.
    14. 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, doi: 10.1007/978-3-642-01094-1_8.
    15. 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, doi: 10.1007/978-3-642-01094-1_41.
    16. 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, [Online]. Available: http://ieeexplore.ieee.org/abstract/document/7074929/.
    17. C. Böhm, S. Yu, and F. Allgöwer, “Predictive control for constrained discrete-time periodic systems using a time-varying terminal region,” 14th Conference on Methods and Models in Automation and Robotics, vol. 14, no. 1, pp. 537--542, 2009, doi: 10.3182/20090819-3-PL-3002.00093.
  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, doi: 10.1002/fld.1926.
    2. J. J. Cerda, B. Qiao, and C. Holm, “Modeling strategies for polyelectrolyte multilayers,” European Physical Journal-special Topics, vol. 177, no. 1, 2009, doi: 10.1140/epjst/e2009-01171-x.
    3. Z. Chen, H. Steeb, and S. Diebels, “A EVI-space-time Galerkin method for dynamics at finite deformation in porous media,” Computational Mechanics, vol. 43, no. 5, pp. 585--601, 2009, doi: 10.1007/s00466-008-0332-9.
    4. G. C. Claudio, K. Kremer, and C. Holm, “Comparison of a hydrogel model to the Poisson-Boltzmann cell model,” Journal of Chemical Physics, vol. 131, no. 9, 2009, doi: 10.1063/1.3207275.
    5. R. M. Colombo, G. Guerra, M. Herty, and V. Schleper, “Optimal control in networks of pipes and canals,” SIAM J. Control Optim., vol. 48, no. 3, pp. 2032--2050, 2009, doi: 10.1137/080716372.
  4. D

    1. A. Dadalau, A. Hafla, and A. Verl, “A new adaptive penalization scheme for topology optimization,” Production Engineering Research and Development, vol. 3 (4-5), p. 427, 2009, doi: 10.1007/s11740-009-0187-8.
    2. 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, doi: 10.1016/j.egypro.2009.01.231.
    3. A. Dedner and R. Klöfkorn, “Stabilization for Discontinuous Galerkin Methods Applied to Systems  of Conservation Laws,” in Proc. of the 12th International Conference on Hyperbolic Problems,  Proceedings of Symposia in Applied Mathematics 67, Part 1, 253-268, 2009.
    4. E. Deelman, D. Gannon, M. Shields, and I. Taylor, “Workflows and e-Science: An overview of workflow system features and capabilities,” Future Generation Computer Systems, vol. 25, no. 5, pp. 528–540, 2009, doi: https://doi.org/10.1016/j.future.2008.06.012.
    5. M. Drohmann, “Reduzierte Basis Methode f�r die Richards Gleichung,” Diploma Thesis, 2009.
    6. 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, [Online]. Available: http://pc2.iam.fmph.uniba.sk/amuc/_contributed/algo2009/drohmann.pdf.
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    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, doi: 10.1002/pamm.200910030.
    2. W. Ehlers, “Challenges of Porous Media Models in Geo- and Biomechanical Engineering including Electro-Chemically Active Polymers and Gels,” International Journal of Advances in Engineering Sciences and Applied Mathematics, vol. 1, no. 1, pp. 1--24, 2009, doi: 10.1007/s12572-009-0001-z.
    3. W. Ehlers, A. Acartürk, and N. Karajan, “Advances in Modelling Saturated Biological Soft Tissues and Chemically Active Gels,” Archive of Applied Mechanics, vol. 80, no. 5, pp. 467--478, 2009, doi: 10.1007/s00419-009-0386-y.
    4. 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, doi: 10.1002/gamm.200910013.
    5. 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, doi: 10.1007/s00466-008-0329-4.
    6. 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, doi: 10.1007/s10237-008-0129-y.
    7. 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, doi: 10.1109/CDC.2009.5400584.
    8. R. Ewing, O. Iliev, R. Lazarov, I. Rybak, and J. Willems, “A simplified method for upscaling composite materials with high contrast  of the conductivity,” SIAM J. Sci. Comp., vol. 31, no. 4, pp. 2568--2586, 2009, doi: 10.1137/080731906.
  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, [Online]. Available: http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4906853&tag=1.
    2. M. Fischer, “Einfluss der Snapshot-Wahl bei der POD basierten Reduktion.” 2009.
    3. 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, doi: 10.3970/cmes.2009.052.181.
    4. M. Fornasier, A. Langer, and C.-B. Schönlieb, “Domain decomposition methods for compressed sensing,” in Proceedings of the International Conference of SampTA09, 2009, [Online]. Available: http://arxiv.org/abs/0902.0124.
    5. 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, doi: 10.1007/978-3-642-10331-5_34.
    6. G. Fritsch and L. Wiedemann, Innere Behördenorganisation und Verwaltungstechnik. 2009.
    7. 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, doi: 10.1007/s11004-009-9220-x.
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    1. F. D. Gaspoz and P. Morin, “Convergence rates for adaptive finite elements,” IMA J. Numer. Anal., vol. 29, no. 4, pp. 917--936, 2009.
    2. 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, [Online]. Available: https://www.researchgate.net/profile/Gregor_Gassner/publication/267221767_Explicit_Discontinuous_Galerkin_Schemes_with_Adaptation_in_Space_and_Time/links/547d8d3c0cf2cfe203c21ce8.pdf.
    3. 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, doi: 10.1016/j.jcp.2008.11.012.
    4. 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, doi: 10.1007/s11235-008-9133-x.
    5. S. Geiger, S. Matthäi, J. Niessner, and R. Helmig, “Black-Oil Simulations for Three-Component, Three-Phase Flow in Fractured Porous Media,” SPE Journal, vol. 14, pp. 338--354, 2009, doi: 10.2118/107485-PA.
    6. 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, doi: 10.1051/m2an/2009013.
    7. 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, doi: 10.1021/ma9003067.
    8. 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, doi: 10.1007/s11740-009-0202-0.
    9. G. Guerra, F. Marcellini, and V. Schleper, “Balance laws with integrable unbounded sources,” SIAM J. Math. Anal., vol. 41, no. 3, pp. 1164--1189, 2009, doi: 10.1137/080735436.
    10. D. Göddeke, S. H. M. Buijssen, H. Wobker, and S. Turek, “GPU Acceleration of an Unmodified Parallel Finite Element Navier-Stokes  Solver,” in High Performance Computing & Simulation 2009, 2009, pp. 12--21, doi: 10.1109/HPCSIM.2009.5191718.
    11. D. Göddeke, H. Wobker, R. Strzodka, J. Mohd-Yusof, P. S. McCormick, and S. Turek, “Co-Processor Acceleration of an Unmodified Parallel Solid Mechanics  Code with FEASTGPU,” International Journal of Computational Science and Engineering, vol. 4, no. 4, pp. 254--269, 2009, doi: 10.1504/IJCSE.2009.029162.
    12. 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, doi: 10.1016/j.cma.2008.12.028.
  8. H

    1. B. Haasdonk, M. Ohlberger, T. Tonn, and K. Urban, MoRePaS 2009 Book of Abstracts. University of M�nster, 2009.
    2. B. Haasdonk and M. Ohlberger, “Efficient a-posteriori Error Estimation for Parametrized Reduced  Dynamical Systems,” in GMA-Fachaussschuss 1.30, Tagungsband, 2009.
    3. 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, [Online]. Available: https://ivv5hpp.uni-muenster.de/u/mohlb_01/postscript/mathmod2009_haasdonk_ohlberger_Nadapt_proceedings.pdf.
    4. 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, [Online]. Available: http://wwwmath1.uni-muenster.de/num/publications/2009/HO09a/mathmod2009_haasdonk_ohlberger_PMOR_proceedings.pdf.
    5. 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, doi: 10.1090/psapm/067.2/2605256.
    6. B. Haasdonk and M. Ohlberger, “Efficient Reduced Models and A-Posteriori Error Estimation for Parametrized Dynamical Systems by Offline/Online Decomposition,” MCMDS, Mathematical and Computer Modelllng of Dynamical Systems, vol. 17, no. 2, 2009, doi: 10.1080/13873954.2010.514703.
    7. 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, doi: 10.1016/j.cma.2009.06.021.
    8. J. E. Hannay, H. P. Langtangen, C. MacLeod, D. Pfahl, J. Singer, and G. Wilson, “How do scientists develop and use scientific software?,” pp. 1–8, 2009, doi: 10.1109/SECSE.2009.5069155.
    9. J. Hasenauer, P. Rumschinski, S. Waldherr, S. Borchers, F. Allgöwer, and R. Findeisen, “Guaranteed Steady-State Bounds for Uncertain Chemical Processes,” In Proc. of the International Symposium on Advanced Control of Chemical Processes, vol. 0, pp. 674--679, 2009, doi: 10.3182/20090712-4-TR-2008.00104.
    10. J. Heinrich and D. Weiskopf, “Continuous Parallel Coordinates,” IEEE Transactions on Visualization and Computer Graphics, vol. 15, no. 6, pp. 1531--1538, 2009, doi: 10.1109/TVCG.2009.131.
    11. T. Hey, S. Tansley, and K. M. Tolle, Eds., The Fourth Paradigm: Data-Intensive Scientific Discovery. Microsoft Research, 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, doi: 10.1109/DS-RT.2009.35.
  10. J

    1. N. Jung, B. Haasdonk, and D. Kröner, “Reduced Basis Method for Quadratically Nonlinear Transport Equations,” IJCSM, International Journal of Computing Science and Mathematics, vol. 2, no. 4, pp. 334--353, 2009, doi: 10.1504/IJCSM.2009.030912.
    2. N. Jung, B. Haasdonk, and D. Kröner, “Reduced Basis Method for Quadratically Nonlinear Transport Equations,” IJCSM, vol. 2, no. 4, pp. 334–353, 2009.
  11. K

    1. D. Karastoyanova and F. Leymann, “BPELn Aspects: Adapting Service Orchestration Logic,” Web Services, pp. 222--229, 2009, doi: 10.1109/ICWS.2009.75.
    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, doi: 10.1007/s00285-009-0284-5.
    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, doi: 10.1002/mma.1133.
    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, doi: 10.1016/j.jde.2009.05.006.
    5. H. Klimach, S. P. Roller, and C.-D. Munz, “Heterogeneous Parallelism of Aero-Acoustic Applications using PACX-MPI,” Interdisciplinary Information Sciences, vol. 15, no. 1, pp. 79--83, 2009, doi: 10.4036/iis.2009.79.
    6. R. Klöfkorn, “Numerics for Evolution Equations --- A General Interface Ba\-sed  De\-sign Con\-cept,” Albert-Ludwigs-Universität Freiburg, 2009.
    7. 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, [Online]. Available: http://books.google.de/books?id=0Fh9m8o26zcC&pg=PA207&lpg=PA207&dq=modellierung+und+simulation+networks-on-chip+osci+tlm2&source=bl&ots=rnpAidPRXi&sig=gHpZMNM2EyexMlqInvmkdMezp1U&hl=en&ei=_BVwS5bcAYv6_Aaa3LXJBg&sa=X&oi=book_result&ct=result&resnum=3&ved=0.
    8. 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, doi: 10.1109/NOCS.2009.5071441.
    9. 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, [Online]. Available: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=5404048.
    10. 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, [Online]. Available: http://www.cmnd2009.fsb.hr/proc/kurz.pdf.
    11. J. Kästner, “Umbrella integration in two or more reaction coordinates,” J.Chem. Phys., vol. 131, no. 3, p. 034109, 2009, doi: 10.1063/1.3175798.
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    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, doi: 10.1145/1614379.1614388.
    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, doi: 10.1186/1757-5036-2-10.
    3. U. Lichtenthaler and E. Lichtenthaler, “A Capability-Based Framework for Open Innovation: Complementing Absorptive Capacity,” Journal of Management Studies, vol. 46, no. 8, pp. 1315--1338, 2009, doi: 10.1111/j.1467-6486.2009.00854.x.
    4. C. Linder and F. Armero, “Finite elements with embedded branching,” Finite Elements in Analysis and Design, vol. 45, no. 4, pp. 280--293, 2009, doi: 10.1016/j.finel.2008.10.012.
  13. M

    1. M. Melnyk, C. Schloz, S. Schmitt, and A. Gollhofer, “Neuromuscular ankle joint stabilisation after 4-weeks WBV training,” International Journal of Sports Medicine, vol. 30, no. 6, pp. 461--466, 2009, doi: 10.1055/s-0028-1112141.
    2. 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, doi: 10.1109/HICSS.2009.76.
    3. 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, doi: 10.1016/j.ijsolstr.2008.08.029.
    4. 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, doi: 10.3182/20090924-3-IT-4005.00005.
    5. 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, doi: 10.3182/20091021-3-JP-2009.00027.
    6. 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, doi: 10.1109/CDC.2009.5399906.
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