Publications 2012

  1. A

    1. F. Albrecht, B. Haasdonk, S. Kaulmann, and M. Ohlberger, “The Localized Reduced Basis Multiscale Method,” Algoritmy 2012 - Proceedings of contributed papers and posters, vol. 1, pp. 393--403, 2012, [Online]. Available:
  2. B

    1. K. Baber, K. Mosthaf, B. Flemisch, R. Helmig, S. Müthing, and B. Wohlmuth, “Numerical scheme for coupling two-phase compositional porous-media flow and one-phase compositional free flow,” IMA Journal of Applied Mathematics, pp. 1--23, 2012, doi: 10.1093/imamat/hxs048.
    2. S. Bachthaler, F. Sadlo, R. Weeber, S. Kantorovich, C. Holm, and D. Weiskopf, “Magnetic Flux Topology of 2D Point Dipoles,” Computer Graphics Forum, vol. 31, p. 955, 2012, doi: 10.1111/j.1467-8659.2012.03088.x.
    3. P. Baier, F. Dürr, and K. Rothermel, “PSense: Reducing Energy Consumption in Public Sensing Systems,” Proceedings of the 26th IEEE International Conference on Advanced Information Networking and Applications, 2012, doi: 10.1109/AINA.2012.33.
    4. P. Baier, F. Dürr, and K. Rothermel, “TOMP: Opportunistic Traffic Offloading Using Movement Predictions,” Proceedings of the 37th IEEE Conference on Local Computer Networks (LCN), 2012, doi: 10.1109/LCN.2012.6423668.
    5. H. M. N. K. Balini, J. Witte, and C. W. Scherer, “Synthesis and implementation of gain-scheduling and LPV controllers for an AMB system,” Automatica, 2012, doi: 10.1016/j.automatica.2011.08.061.
    6. T. Binz, F. Leymann, A. Nowak, and D. Schumm, “Improving the Manageability of Enterprise Topologies Through Segmentation, Graph Transformation, and Analysis Strategies,” Proceedings of Enterprise Distributed Object Computing Conference (EDOC 2012), 2012, doi: 10.1109/EDOC.2012.17.
    7. T. Binz, C. Fehling, F. Leymann, A. Nowak, and D. Schumm, “Formalizing the Cloud through Enterprise Topology Graphs,” Proceedings of  International Conference on Cloud Computing, 2012, doi: 10.1109/CLOUD.2012.143.
    8. T. Brandes, A. Arnold, T. Soddemann, and D. Reith, “CPU vs. GPU-Performance comparison for the Gram-Schmidt algorithm,” The European Physical Journal Special Topics, vol. 210, no. 1, Art. no. 1, 2012, doi: 10.1140/epjst/e2012-01638-7.
    9. C. Braun, M. Daub, A. Schoell, G. Schneider, and H.-J. Wunderlich, “Parallel Simulation of Apoptotic Receptor-Clustering on GPGPU Many-Core Architectures,” Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine (BIBM’12), 2012, doi: 10.1109/BIBM.2012.6392661.
    10. C. Braun, S. Holst, J. M. Castillo, J. Gross, and H.-J. Wunderlich, “Acceleration of Monte-Carlo Molecular Simulations on Hybrid Computing Architectures,” Proceedings of the IEEE International Conference on Computer Design (ICCD12), 2012, doi: 10.1109/ICCD.2012.6378642.
    11. S. Brdar, M. Baldauf, A. Dedner, and R. Klöfkorn, “Comparison of dynamical cores for NWP models - Comparison of COSMO and DUNE,” Theoretical and Computational Fluid Dynamics, 2012, doi: 10.1007/s00162-012-0264-z.
    12. C. Breindl, M. Chaves, J. Gouze, and F. Allgöwer, “Structure estimation for unate Boolean models of gene regulation networks,” Proceedings of the 16th IFAC Symposium on System Identification, pp. 1725--1730, 2012, doi: 10.3182/20120711-3-BE-2027.00278.
    13. C. Böhm, M. Lazar, and F. Allgöwer, “Stability of periodically time-varying systems: Periodic Lyapunov functions,” Automatica, vol. 48, no. 10, Art. no. 10, 2012, doi: 10.1016/j.automatica.2012.06.070.
    14. M. Bürger, G. Notarstefano, F. Allgöwer, and F. Bullo, “A Distributed Simplex Algorithm for Degenerate Linear Programs and Multi-Agent Assignments,” Automatica, vol. 48, pp. 2298--2304, 2012, doi: 10.1016/j.automatica.2012.06.040.
  3. C

    1. C. Chalons, F. Coquel, P. Engel, and C. Rohde, “Fast Relaxation Solvers for Hyperbolic-Elliptic Phase Transition Problems,” SIAM Journal on Scientific Computing, vol. 34, pp. A1753–A1776, 2012, doi: 10.1137/110848815.
    2. J. Chaudenson, D. Beauvois, S. Bennani, M. Ganet-Schoeller, G. Sandou C., and C. Frechin, PWM Modeling for Attitude Control of a Launcher During Ballistic Phase and Comparative Stability Analysis. 7th IFAC Symposium on Robust Control Design, 2012.
    3. O. A. Cirpka, M. Rolle, G. Chiogna, F. P. J. de Barros, and W. Nowak, “Stochastic Evaluation of Mixing-Controlled Steady-State Plume Lengths in Two-Dimensional Heterogeneous Domains,” Journal of Contaminant Hydrology, vol. 138–139, pp. 22--39, 2012, doi: 10.1016/j.jconhyd.2012.05.007.
    4. A. Corli and C. Rohde, “Singular limits for a parabolic-elliptic regularization of scalar conservation laws,” Journal of  Differential Equations, vol. 253, 2012, doi: 10.1016/j.jde.2012.05.006.
  4. D

    1. A. Dadalau and A. Verl, “Modeling linear guide systems with CoFEM - Experimental validation,” Production Engineering Research and Development, 2012, doi: 10.1007/s11740-012-0377-7.
    2. A. Dedner, B. Flemisch, and R. Klöfkorn, Advances in DUNE. Proceedings of the 1st DUNE User Meeting. Springer, 2012.
    3. M. Deininger, J. Jung, R. Skoda, P. Helluy, and C.-D. Munz, “Evaluation of interface models for 3D-1D coupling of compressible Euler methods for the application on cavitating  ows,” ESAIM: Proceedings, vol. 38, pp. 298--318, 2012, doi: 10.1051/proc/201238016.
    4. M. Dihlmann, S. Kaulmann, and B. Haasdonk, “Online Reduced Basis Construction Procedure for Model Reduction of Parametrized Evolution Systems,” Proceedings of Mathmod 2012, 2012, doi: 10.3182/20120215-3-at-3016.00020.
    5. W. Dreyer, J. Giesselmann, C. Kraus, and C. Rohde, “Asymptotic analysis for Korteweg models,” Interfaces and free boundaries, vol. 14, pp. 105--143, 2012, doi: 10.4171/IFB/275.
    6. M. Drohmann, B. Haasdonk, and S. Kaulmann, “A Software Framework for Reduced Basis Methods Using Dune-RB and RBmatlab,” Advances in DUNE, pp. 77--88, 2012, doi: 10.1007/978-3-642-28589-9_6.
    7. M. Drohmann, B. Haasdonk, and M. Ohlberger, “Reduced Basis Approximation for Nonlinear Parametrized Evolution Equations based on Empirical Operator Interpolation,” SIAM-SISC, vol. 34, pp. A937–A969, 2012, doi: 10.1137/10081157x.
  5. E

    1. P. Eberhard and Q. Tang, “Sensor Data Fusion for the Localization and Position Control of One Kind of Omnidirectional Mobile Robots,” Multibody System Dynamics, Robotics and Control, pp. 45--73, 2012, doi: 10.1007/978-3-7091-1289-2_4.
    2. H. A. ElMaraghy, Enabling Manufacturing Competitiveness and Economic Sustainability. Springer, 2012.
    3. P. Engel and C. Rohde, “On the Space-Time Expansion Discontinuous Galerkin Method,” Series in Contemporary Applied Mathematics, vol. 0, 2012, doi: 10.1142/9789814417099_0038.
    4. R. Enzenhöfer, W. Nowak, and R. Helmig, “Probabilistic Exposure Risk Assessment with Advective-Dispersive Well Vulnerability Criteria,” Advances in Water Resources, vol. 36, pp. 121--132, 2012, doi: 10.1016/j.advwatres.2011.04.018.
    5. K. Erbertseder, J. Reichold, B. Flemisch, P. Jenny, and R. Helmig, “A Coupled Discrete / Continuum Model for Describing Cancer-Therapeutic Transport in the Lung,” PLoS ONE, 2012, doi: 10.1371/journal.pone.0031966.
    6. C. Ergenzinger, R. Seifried, and P. Eberhard, “A discrete element model predicting the strength of ballast stones,” Computers & Structures, vol. 108–109, pp. 3--13, 2012, doi: 10.1016/j.compstruc.2012.02.006.
    7. C. Ergenzinger, R. Seifried, and P. Eberhard, “A Discrete Element Approach to Model Breakable Railway Ballast,” Journal of Computational and Nonlinear Dynamics, vol. 7, no. 4, Art. no. 4, 2012, doi: 10.1115/1.4006731.
  6. F

    1. M. Falk, M. Krone, and T. Ertl, “Atomistic Visualization of Mesoscopic Whole-Cell Simulations,” Eurographics Workshop on Visual Computing for Biology and Medicine (VCBM), pp. 123--130, 2012, doi: 10.2312/VCBM/VCBM12/123-130.
    2. C. Fehling, T. Ewald, F. Leymann, M. Pauly, J. Rütschlin, and D. Schumm, “Capturing Cloud Computing Knowledge and Experience in Patterns,” Proceedings of the 2012 IEEE International Conference on Cloud Computing (CLOUD 2012), 2012, doi: 10.1109/CLOUD.2012.124.
    3. J. Fehr, M. Fischer, B. Haasdonk, and P. Eberhard, “Greedy-based approximation of frequency-weighted Gramian matrices for model reduction in multibody dynamics,” ZAMM - Journal of Applied Mathematics and Mechanics / Zeitschrift für Angewandte Mathematik und Mechanik, vol. 93, pp. 501--519, 2012, doi: 10.1002/zamm.201200014.
    4. S. Frey, G. Reina, and T. Ertl, “SIMT Microscheduling: Reducing Thread Stalling in Divergent Iterative Algorithms,” Parallel, Distributed and Network-Based Processing (PDP), 2012 20th Euromicro International Conference on, pp. 399--406, 2012, doi: 10.1109/PDP.2012.62.
    5. S. Frey, F. Sadlo, and T. Ertl, “Visualization of Temporal Similarity in Field Data,” Transactions on Visualization and Computer Graphics, vol. 18, pp. 2023--2032, 2012, doi: 10.1109/TVCG.2012.284.
  7. G

    1. C. C. Gruber and J. Pleiss, “Molecular Modeling of Lipase Binding to a Substrate-Water Interface,” Lipases and Phospholipases, vol. 861, pp. 313--327, 2012, doi: 10.1007/978-1-61779-600-5_19.
    2. M. Günther, O. Röhrle, D. Häufle, and S. Schmitt, “Spreading out muscle mass within a hill-type model: a computer simulation study,” Computational and mathematical methods in medicine, 2012, doi: 10.1155/2012/848630.
  8. H

    1. B. Haasdonk, J. Salomon, and B. Wohlmuth, “A Reduced Basis Method for the Simulation of American Options,” Numerical Mathematics and Advanced Applications 2011, pp. 821--829, 2012, doi: 10.1007/978-3-642-33134-3_85.
    2. H. Harbrecht, M. Peters, and R. Schneider, “On the low-rank approximation by the pivoted Cholesky decomposition,” Applied Numerical Mathematics, vol. 62, pp. 428--440, 2012, doi: 10.1016/j.apnum.2011.10.001.
    3. H. Harbrecht, W. L. Wendland, and N. Zorii, “On Riesz minimal energy problems,” Journal of Mathematical Analysis and Applications, vol. 393, pp. 397--412, 2012, doi: 10.1016/j.jmaa.2012.04.019.
    4. J. Hasenauer, D. Schittler, and F. Allgöwer, “Analysis and simulation of division- and label-structured population models,” Bulletin of Mathematical Biology, vol. 74, no. 11, Art. no. 11, 2012, doi: 10.1007/s11538-012-9774-5.
    5. J. Hasenauer, J. Heinrich, M. Doszczak, P. Scheurich, D. Weiskopf, and F. Allgöwer, “A visual analytics approach for models of heterogeneous cell populations,” EURASIP Journal on Bioinformatics and Systems Biology, vol. 2012, no. 4, Art. no. 4, 2012, doi: 10.1186/1687-4153-2012-4.
    6. J. Hasenauer, M. Löhning, M. Khammash, and F. Allgöwer, “Dynamical optimization using reduced order models: A method to guarantee performance,” Journal of Process Control, vol. 22, no. 8, Art. no. 8, 2012, doi: 10.1016/j.jprocont.2012.01.017.
    7. T. Heidlauf and O. Röhrle, “A geometrical model of skeletal muscle,” PAMM, vol. 1, pp. 119--120, 2012, doi: 10.1002/pamm.201210050.
    8. F. E. Hildebrand and C. Miehe, “A phase field model for the formation and evolution of martensitic laminate microstructure at finite strains,” Philosophical Magazine, vol. 92, pp. 4250--4290, 2012, doi: 10.1080/14786435.2012.705039.
    9. F. E. Hildebrand and C. Miehe, “Comparison of two bulk energy approaches for the phasefield modeling of two-variant martensitic laminate microstructure,” Technische Mechanik, vol. 32, pp. 3--20, 2012, [Online]. Available:
    10. M. Hofacker and C. Miehe, “Continuum phase field modeling of dynamic fracture: Variational principles and staggered FE implementation,” International Journal of Fracture, vol. 178, pp. 113--129, 2012, doi: 10.1007/s10704-012-9753-8.
    11. K. Häberle and W. Ehlers, “Carbon-dioxide storage and phase transitions: towards an understanding of crack development in the cap-rock layer,” Proceedings in Applied Mathematics and Mechanics, vol. 12, pp. 377--378, 2012, doi: 10.1002/pamm.201210177.
  9. J

    1. A. S. Jackson, I. Rybak, R. Helmig, W. G. Gray, and C. T. Miller, “Thermodynamically Constrained Averaging Theory Approach for Modeling Flow and  Transport Phenomena in Porous Medium Systems: 9. Transition Region Models,” Advances in Water Resources, 2012, doi: 10.1016/j.advwatres.2012.01.006.
    2. E. A. Jaegle and E. J. Mittemeijer, “Interplay of kinetics and microstructure in the recrystallisation of pure copper: comparing mesoscopic simulations and experiments,” Metallurgical and Materials Transactions, vol. 43, no. 7, Art. no. 7, 2012, doi: 10.1007/s11661-012-1094-8.
    3. F. Jaegle, C. Rohde, and C. Zeiler, “A multiscale method for compressible liquid-vapor flow with surface tension,” ESAIM Proceedings, vol. 38, pp. 387--408, 2012, doi: 10.1051/proc/201238022.
  10. K

    1. D. Karastoyanova, D. Dentsas, D. Schumm, M. Sonntag, L. Sun, and K. Vukojevic, “Service-based Integration of Human Users in Workflow-driven Scientific Experiments,” Proceedings of the 8th IEEE International Conference on eScience, pp. 1--8, 2012, doi: 10.1109/eScience.2012.6404435.
    2. G. K. Karch, F. Sadlo, D. Weiskopf, C.-D. Munz, and T. Ertl, “Visualization of Advection-Diffusion in Unsteady Fluid Flow,” Computer Graphics Forum (Proceedings of EUROVIS 2012), vol. 31, no. 3, Art. no. 3, 2012, doi: 10.1111/j.1467-8659.2012.03103.x.
    3. G. K. Karch, F. Sadlo, D. Weiskopf, C. D. Hansen, G.-S. Li, and T. Ertl, “Dye-Based Flow Visualization,” IEEE Computing in Science and Engineering, vol. 14, no. 6, Art. no. 6, 2012, doi: 10.1109/MCSE.2012.118.
    4. J. Kelkel and C. Surulescu, “A Multiscale Approach to Cell Migration in Tissue Networks,” Mathematical Models and Methods in Applied Sciences (M3AS), vol. 22, no. 3, Art. no. 3, 2012, doi: 10.1142/S0218202511500175.
    5. J. H. K. Kim, M. L. Trew, A. J. Pullan, and O. Röhrle, “Simulating a dual-array electrode configuration to investigate the influence of skeletal muscle fatigue following functional electrical stimulation,” Computers in Biology and Medicine, vol. 42, pp. 915--924, 2012, doi: 10.1016/j.compbiomed.2012.07.004.
    6. F. Kissling, R. Helmig, and C. Rohde, “Simulation of Infiltration Processes in the Unsaturated Zone Using a Multiscale Approach,” Vadose Zone Journal, vol. 11, no. 3, Art. no. 3, 2012, doi: 10.2136/vzj2011.0193.
    7. D. Koch and W. Ehlers, : “On the flow characteristics of a geothermal plant in a heterogeneous subsurface,” Proceedings in Applied Mathematics and Mechanics, vol. 12, pp. 373--374, 2012, doi: 10.1002/pamm.201210175.
    8. A. Kohler, P. Gschwandtner, M. Radetzki, and T. Fahringer, “Low-Latency Collectives for the Intel SCC,” Proceedings of the International Conference on Cluster Computing (CLUSTER ’12), 2012, doi: 10.1109/CLUSTER.2012.58.
    9. A. Kohler and M. Radetzki, “Optimized Reduce for Mesh-Based NoC Multiprocessors,” Proceedings of the International Parallel & Distributed Processing Symposium, Workshops & PhD forum (IPDPSW ’12), 2012, doi: 10.1109/IPDPSW.2012.111.
    10. A. Kohler, J. M. Castillo-Sanchez, J. Gross, and M. Radetzki, “Minimal MPI as Programming Interface for Multicore System-on-Chips,” Proceedings of the Forum on Specification and Design Languages (FDL ’12), 2012, [Online]. Available:
    11. B. Koldehofe, F. D?rr, M. A. Tariq, and K. Rothermel, “The Power of Software-defined Networking: Line-rate Content-based Routing Using OpenFlow,” Proceedings of the 7th MW4NG Workshop of the 13th International Middleware Conference, 2012, doi: 10.1145/2405178.2405181.
    12. B. Koldehofe, B. Ottenwälder, K. Rothermel, and U. Ramachandran, “Moving Range Queries in Distributed Complex Event Processing,” Proceedings of the 6th ACM International Conference on Distributed Event-Based Systems (DEBS), 2012, doi: 10.1145/2335484.2335507.
    13. R. Krause, D. Schittler, S. Waldherr, F. Allgöwer, B. Markert, and W. Ehlers, “Remodelling Processes in Bones: A Biphasic Porous Media Model,” Proceedings in Applied Mathematics and Mechanics, vol. 12, pp. 131--132, 2012, doi: 10.1002/pamm.201210056.
    14. I. Kröker and C. Rohde, “Finite volume schemes for hyperbolic balance laws with multiplicative noise,” Applied Numerical Mathematics, vol. 62, pp. 441--456, 2012, doi: 10.1016/j.apnum.2011.01.011.
  11. L

    1. P. Leube, A. Geiges, and W. Nowak, “Bayesian assessment of the expected data impact on prediction confidence in optimal sampling design,” Water Resources Research, vol. 48, no. 2, Art. no. 2, 2012, doi: 10.1029/2010WR010137.
    2. P. Leube, W. Nowak, and G. Schneider, “Temporal Moments revisited: Why there is no better way for physically-based model reduction in time,” Water Resources Research, vol. 48, no. 11, Art. no. 11, 2012, doi: 10.1029/2012WR011973.
    3. C. Linder and C. Miehe, “Effect of electric displacement saturation on the hysteretic behavior of ferroelectric ceramics and the initiation and propagation of cracks in piezoelectric ceramics,” Journal of the Mechanics and Physics of Solids, vol. 60, pp. 882--903, 2012, doi: 10.1016/j.jmps.2012.01.012.
    4. C. Linder, “An analysis of the exponential electric displacement saturation model in fracturing piezoelectric ceramics,” Technische Mechanik, 2012, [Online]. Available:
  12. M

    1. J. Mabuma, B. Markert, and W. Ehlers, “Towards a Method for Parameter Estimation of Articular Cartilage and a Staggered Procedure for Synovial Fluid-Cartilage Interaction,” Proceedings in Applied Mathematics and Mechanics, vol. 12, pp. 129--130, 2012, doi: 10.1002/pamm.201210055.
    2. N. M. Mascarenhas and J. Kästner, “Are different stoichiometries feasible for complexes between lymphotoxin-alpha and tumor necrosis factor receptor 1?,” BMC Structural Biology, vol. 12, p. 8, 2012, doi: 10.1186/1472-6807-12-8.
    3. O. Meister, K. Rahnema, and M. Bader, “cover A Software Concept for Cache-Efficient Simulation on Dynamically Adaptive Structured Triangular Grids,” Advances in Parallel Computing, vol. 22, pp. 251--260, 2012, doi: 10.3233/978-1-61499-041-3-251.
    4. C. Miehe, D. Zäh, and D. Rosato, “Variational-Based Modeling of Micro-Electro-Elasticity with Electric Field- and Stress-Driven Domain Evolution,” International Journal for Numerical Methods in Engineering, vol. 91, no. 2, Art. no. 2, 2012, doi: 10.1002/nme.4254.
    5. C. Miehe, “Mixed variational principles for the evolution problem of gradient-extended dissipative solids,” GAMM-Mitteilungen, vol. 35, pp. 8--25, 2012, doi: 10.1002/gamm.201210002.
    6. C. Miehe and G. Ethiraj, “A Geometrically Consistent Incremental Variational Formulation for Phase Field Models in Micromagnetics,” Computer Methods in Applied Mechanics and Engineering, 2012, doi: 10.1016/j.cma.2012.03.021.
    7. J. Mohammadpour and C. W. Scherer, Control of Linear Parameter Varying Systems with Applications. Springer, 2012.
    8. D. Molnar, C. Niedermeier, P. Binkele, A. Mora, and S. Schmauder, “Activation Energies for Nucleation and Growth and Critical Cluster Size Dependence in JMAK Analyses of Kinetic Monte-Carlo Simulations of Precipitation,” Continuum Mechanics and Thermodynamics, vol. 24, pp. 607--617, 2012, doi: 10.1007/s00161-012-0258-5.
    9. D. Molnar et al., “Multiscale simulations on the coarsening of Cu-rich precipitates in α-Fe using kinetic Monte Carlo, Molecular Dynamics and Phase-Field simulations,” Acta Materialia, vol. 60, p. 6961?6971, 2012, doi: 10.1016/j.actamat.2012.08.051.
    10. D. Molnar, P. Binkele, S. Hocker, and S. Schmauder, “Atomistic multiscale simulations on the anisotropic tensile behaviour of copper-alloyed alpha-iron at different states of thermal ageing,” Philosophical Magazine, vol. 92, pp. 586--607, 2012, doi: 10.1080/14786435.2011.630690.
    11. D. Molnar, F. Maier, P. Binkele, and S. Schmauder, “Molecular Dynamics simulations on the coherency of Cu nano precipitates in BCC-Fe,” Proceedings of the 20th European Congress on Computational Methods in Applied Sciences and Engineering (ECCOMAS), 2012, [Online]. Available:
    12. M. A. Müller and F. Allgöwer, “Improving performance in model predictive control: switching cost functionals under average dwell-time,” Automatica, Elsevier, vol. 48, pp. 402--409, 2012, doi: 10.1016/j.automatica.2011.11.005.
    13. M. A. Müller, P. Martius, and F. Allgöwer, “Model predictive control of switched nonlinear systems under average dwell-time,” Journal of Process Control, vol. 22, pp. 1702--1710, 2012, doi: 10.1016/j.jprocont.2012.07.004.
    14. M. A. Müller, D. Liberzon, and F. Allgöwer, “Relaxed conditions for norm-controllability of nonlinear systems,” Proceedings of the 51st IEEE Conference on Decision and Control (CDC), pp. 314--319, 2012, doi: 10.1109/CDC.2012.6426430.
    15. M. A. Müller and F. Allgöwer, “Robustness of steady-state optimality in economic model predictive control,” Proceedings of the 51st IEEE Conference on Decision and Control (CDC), pp. 1011--1016, 2012, doi: 10.1109/CDC.2012.6426754.
    16. M. A. Müller, M. Reble, and F. Allgöwer, “Cooperative control of dynamically decoupled systems via distributed model predictive control,” International Journal of Robust and Nonlinear Control, vol. 22, pp. 1376--1397, 2012, doi: 10.1002/rnc.2826.
    17. M. A. Müller, B. Schürmann, and F. Allgöwer, “Robust cooperative control of dynamically decoupled systems via distributed MPC,” Proceedings of the IFAC Conference on Nonlinear Model Predictive Control, pp. 412--417, 2012, doi: 10.3182/20120823-5-NL-3013.00007.
  13. N

    1. J. M. Nordbotten et al., “Uncertainties in practical simulation of CO2 storage,” International Journal of Greenhouse Gas Control, vol. 9, pp. 234--242, 2012, doi: 10.1016/j.ijggc.2012.03.007.
    2. A. Nowak, D. Karastoyanova, F. Leymann, A. Rapoport, and D. Schumm, “Flexible Information Design for Business Process Visualizations,” Proceedings of the International Conference on Service-Oriented Computing and Applications, 2012, doi: 10.1109/SOCA.2012.6449436.
    3. W. Nowak, Y. Rubin, and F. P. J. de Barros, “A Hypothesis-Driven Approach to Optimal Site Investigation,” Water Resources Research, vol. 48, p. W06509, 2012, doi: 10.1029/2011WR011016.
    4. C. Nowakowski, J. Fehr, M. Fischer, and P. Eberhard, “Model Reduction in Elastic Multibody Systems using the Floating Frame of Reference Formulation,” Mathematical Modelling, vol. 7, pp. 40--48, 2012, doi: 10.3182/20120215-3-AT-3016.00007.
  14. O

    1. S. Oladyshkin and W. Nowak, “Polynomial response surfaces for probabilistic risk assessment and risk control via robust design,” Novel Approaches and Their Applications in Risk. ISBN: 978-953-51-0519-0, pp. 317--344, 2012, doi: 10.5772/38170.
    2. S. Oladyshkin and M. Panfilov, “Open thermodynamic model for compressible multicomponent two-phase flow in porous media,” Journal of Petroleum Science and Engineering, vol. 81, pp. 41--48, 2012, doi: 10.1016/j.petrol.2011.12.001.
    3. S. Oladyshkin and W. Nowak, “Data-driven uncertainty quantification using the arbitrary polynomial chaos expansion,” Reliability Engineering and System Safety, vol. 106, pp. 179--190, 2012, doi: 10.1016/j.ress.2012.05.002.
    4. S. Oladyshkin, F. P. J. de Barros, and W. Nowak, “Global sensitivity analysis: a flexible and efficient framework with an example from stochastic hydrogeology,” Advances in Water Resources, vol. 37, pp. 10--22, 2012, doi: 10.1016/j.advwatres.2011.11.001.
  15. P

    1. B. Pfleging, S. Schneegass, and A. Schmidt, “Multimodal Interaction in the Car - Combining Speech and Gestures on the Steering Wheel,” Proceedings of the 4th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, 2012, doi: 10.1145/2390256.2390282.
    2. B. Pfleging, F. Alt, and A. Schmidt, “Meaningful Melodies - Personal Sonification of Text Messages for Mobile Devices,” Proceedings of the 14th international conference on Human-computer interaction with mobile devices and services companion, pp. 189--192, 2012, doi: 10.1145/2371664.2371706.
    3. B. Pfleging, T. Döring, I. Alvarez, M. Kranz, G. Weinberg, and J. Healey, “AutoNUI: 2nd Workshop on Automotive Natural User Interfaces,” Adjunct Proceedings of the 4th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, 2012, [Online]. Available:
    4. I. Polhat and C. W. Scherer, “Stability Analysis for Bilateral Teleoperation: An IQC Formulation,” IEEE T. Robot., vol. 28, pp. 1294--1308, 2012, doi: 10.1109/TRO.2012.2209230.
  16. R

    1. N. Radde, “Analyzing fixed points of intracellular regulation networks with complex feedback topology,” BMC Syst Biol, vol. 6, no. 57, Art. no. 57, 2012, doi: 10.1186/1752-0509-6-57.
    2. P. Rauschenberger, J. Schlottke, and B. Weigand, “A Computation Technique for Rigid Particle Flows in an Eulerian Framework Using the Multiphase DNS Code FS3D,” High Performance Computing in Science and Engineering 11 Transactions of the High Performance Computing Center, Stuttgart (HLRS), 2012, doi: 10.1007/978-3-642-23869-7_23.
    3. M. Reble and F. Allgöwer, “Unconstrained Model Predictive Control and Suboptimality Estimates for Nonlinear Continuous-Time Systems,” Automatica, vol. 48, no. 8, Art. no. 8, 2012, doi: 10.1016/j.automatica.2012.05.067.
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