2017

  1. A

    1. B. Afkham and J. Hesthaven, “Structure Preserving Model Reduction of Parametric Hamiltonian Systems,” SIAM Journal on Scientific Computing, vol. 39, no. 6, pp. A2616–A2644, 2017.
    2. SS. Agada, S. Geiger, A. ElSheikh, and S. Oladyshkin, “Data-driven surrogates for rapid simulation and optimization of WAG injection in fractured carbonate reservoirs,” Petroleum Geoscience, vol. 23, pp. 270--283, 2017.
    3. M. Alkämper and R. Klöfkorn, “Distributed Newest Vertex Bisection,” Journal of Parallel and Distributed Computing, vol. 104, pp. 1–11, 2017.
    4. M. Alkämper, R. Klöfkorn, and F. Gaspoz, “A Weak Compatibility Condition for Newest Vertex Bisection in any  Dimension,” 2017.
    5. M. Alkämper and A. Langer, “Using DUNE-ACFem for Non-smooth Minimization of Bounded Variation  Functions,” Archive of Numerical Software, vol. 5, no. 1, pp. 3--19, 2017.
    6. M. Alk�mper and R. Klofkorn, “Distributed Newest Vertex Bisection,” JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING, vol. 104, pp. 1–11, 2017.
    7. A. Alla, B. Haasdonk, and A. Schmidt, “Feedback control of parametrized PDEs via model order reduction and  dynamic programming principle,” University of Stuttgart, 2017.
    8. A. Alla, A. Schmidt, and B. Haasdonk, “Model Order Reduction Approaches for Infinite Horizon Optimal Control  Problems via the HJB Equation,” in Model Reduction of Parametrized Systems, P. Benner, M. Ohlberger, A. Patera, G. Rozza, and K. Urban, Eds. Cham: Springer International Publishing, 2017, pp. 333--347.
    9. A. Armiti-Juber and C. Rohde, “On Darcy-and Brinkman-Type Models for Two-Phase Flow in Asymptotically  Flat Domains,” 2017.
  2. B

    1. A. Barth and A. Stein, “Approximation and simulation of infinite-dimensional Levy processes,” Stochastic and Partial Differential Equations, 2017.
    2. A. Barth and F. G. Fuchs, “Uncertainty quantification for linear hyperbolic equations with    stochastic process or random field coefficients,” APPLIED NUMERICAL MATHEMATICS, vol. 121, pp. 38–51, 2017.
    3. A. Barth, B. Harrach, N. Hyvoenen, and L. Mustonen, “Detecting stochastic inclusions in electrical impedance tomography,” INVERSE PROBLEMS, vol. 33, no. 11, 2017.
    4. A. Barth and A. Stein, “A study of elliptic partial differential equations with jump diffusion  coefficients,” 2017.
    5. A. Barth, B. Harrach, N. Hyvönen, and L. Mustonen, “Detecting stochastic inclusions in electrical impedance tomography,” Inv. Prob., vol. 33, no. 11, p. 115012, 2017.
    6. B. Baumann, D. Hamann, and P. Eberhard, “Time-dependent Parametric Model Order Reduction for Material-Removal Simulations,” Modeling, Simulation and Applications, vol. 17, 2017.
    7. P. U. Baur, “Comparison of methods for parametric model order reduction of instationary problem,” Chapter in P. Benner, A. Cohen, M. Ohlberger, K. Willcox (Eds.): Model Reduction and Approximation: Theory and Algorithms, pp. 377--407, 2017.
    8. F. Beck, M. Burch, S. Diehl, and D. Weiskopf, “A Taxonomy and Survey of Dynamic Graph Visualization,” Computer Graphics Forum, vol. 36, no. 1, pp. 133--159, 2017.
    9. B. Becker, B. Guo, K. Bandilla, M. A. Celia, B. Flemisch, and R. Helmig, “A Pseudo-Vertical Equilibrium Model for Slow Gravity Drainage Dynamics,” Water Resources Research, vol. 53, no. 12, pp. 10491--10507, 2017.
    10. A. Bhatt and R. VanGorder, “Chaos in a non-autonomous nonlinear system describing asymmetric  water wheels,” 2017.
    11. A. Bhatt and B. E. Moore, “Structure-preserving ERK methods for non-autonomous DEs.” 2017.
    12. A. Bhatt and B. E. Moore, “Structure-preserving numerical integration of DEs with conformal  invariants.” 2017.
    13. C. Bradley et al., “Towards realistic HPC models of the neuromuscular system,” Frontiers in Physiology, 2017.
    14. M. Brehler, M. Schirwon, D. Göddeke, and P. M. Krummrich, “A GPU-accelerated Fourth-Order Runge-Kutta in the Interaction Picture Method for the Simulation of Nonlinear Signal Propagation in Multimode Fibers,” Journal of Lightwave Technology, vol. 35, pp. 3622--3628, 2017.
    15. M. Brehler, M. Schirwon, D. Göddeke, and P. M. Krummrich, “A GPU-accelerated Fourth-Order Runge-Kutta in the Interaction  Picture Method for the Simulation of Nonlinear Signal Propagation  in Multimode Fibers,” Journal of Lightwave Technology, vol. 35, no. 17, pp. 3622--3628, 2017.
    16. V. Bruder, S. Frey, and T. Ertl, “Prediction-Based Load Balancing and Resolution Tuning for Interactive Volume Raycasting,” Visual Informatics, 2017.
    17. F. D. Brunner, W. P. M. H. Heemels, and F. Allgöwer, “Robust Event-triggered MPC With Guaranteed Asymptotic Bound and Average Sampling Rate,” IEEE Transactions on Automatic Control, 2017.
    18. T. Brünnette, G. Santin, and B. Haasdonk, “Greedy kernel methods for accelerating implicit integrators for parametric ODEs,” Numerical Mathematics and Advanced Applications - ENUMATH 2017, 2017.
    19. M. Bußler et al., “Visualization of fracture progression in peridynamics,” Computers & Graphics, vol. 67, pp. 45--57, 2017.
    20. L. Böger, M.-A. Keip, and C. Miehe, “Minimization and Saddle-Point Principles for the Phase-Field Modeling of Fracture in Hydrogels,” Computational Materials Science, vol. 138, pp. 474--485, 2017.
    21. R. Bürger and I. Kröker, “Hybrid Stochastic Galerkin Finite Volumes for the Diffusively Corrected Lighthill-Whitham-Richards Traffic Model,” Springer Proceedings in Mathematics & Statistics, vol. 200, pp. 189--197, 2017.
    22. R. Bürger and I. Kröker, “Hybrid Stochastic Galerkin Finite Volumes for the Diffusively Corrected  Lighthill-Whitham-Richards Traffic Model,” in Finite Volumes for Complex Applications VIII - Hyperbolic, Elliptic  and Parabolic Problems: FVCA 8, Lille, France, June 2017, C. Cancès and P. Omnes, Eds. Cham: Springer International Publishing, 2017, pp. 189--197.
  3. C

    1. B. W. Carabelli, R. Blind, F. Dürr, and K. Rothermel, “State-dependent priority scheduling for networked control systems,” Proceedings of the American Control Conference (ACC), pp. 1003--1010, 2017.
    2. R. Cavoretto, S. De Marchi, A. De Rossi, E. Perracchione, and G. Santin, “Partition of unity interpolation using stable kernel-based techniques,” APPLIED NUMERICAL MATHEMATICS, vol. 116, no. SI, pp. 95–107, 2017.
    3. C. Chalons, J. Magiera, C. Rohde, and M. Wiebe, “A Finite-Volume Tracking Scheme for Two-Phase Compressible Flow,” erscheint bei Springer Proc. Math. Stat., 2017.
    4. Christophe. Chalons, C. Rohde, and M. Wiebe, “A Finite Volume Method for Undercompressive Shock Waves in Two Space  Dimensions,” ESAIM Math. Model. Numer. Anal., vol. 51, no. 5, pp. 1987–2015, 2017.
    5. A. Chertock, P. Degond, and J. Neusser, “An asymptotic-preserving method for a relaxation of the    Navier-Stokes-Korteweg equations,” JOURNAL OF COMPUTATIONAL PHYSICS, vol. 335, pp. 387–403, 2017.
    6. S. Copplestone, P. Ortwein, and C.-D. Munz, “Complex-Frequency Shifted PMLs for Maxwell"s Equations With Hyperbolic Divergence Cleaning and Their Application in Particle-in-Cell Codes,” IEEE Transactions on Plasma Science, vol. 45, pp. 2--14, 2017.
  4. D

    1. L. Danish, D. Stöhr, P. Scheurich, and N. Pollak, “TRAIL-R3/R4 and Inhibition of TRAIL Signalling in Cancer,” in TRAIL, Fas Ligand, TNF and TLR3 in Cancer, O. Micheau, Ed. Cham: Springer International Publishing, 2017, pp. 27--57.
    2. S. De Marchi, A. Iske, and G. Santin, “Image Reconstruction from Scattered Radon Data by Weighted Positive  Definite Kernel Functions,” 2017.
    3. S. De Marchi, A. Idda, and G. Santin, “A Rescaled Method for RBF Approximation,” in Approximation Theory XV: San Antonio 2016, G. E. Fasshauer and L. L. Schumaker, Eds. Cham: Springer International Publishing, 2017, pp. 39--59.
    4. C. Dibak, A. Schmidt, F. Dürr, B. Haasdonk, and K. Rothermel, “Server-Assisted Interactive Mobile Simulations for Pervasive Applications,” Proceesings of the 15th IEEE International Conference on Pervasive Computing and Communications, 2017.
    5. C. Dibak, F. Dürr, and K. Rothermel, “Demo: Server-assisted interactive mobile simulations for pervasive applications,” Proceesings of the 15th IEEE International Conference on Pervasive Computing and Communications Workshops, 2017.
    6. C. Dibak, A. Schmidt, F. Dürr, B. Haasdonk, and K. Rothermel, “Server-Assisted Interactive Mobile Simulations for Pervasive Applications,” in Proceedings of the 15th IEEE International Conference on Pervasive  Computing and Communications (PerCom), Kona, Hawaii, USA, 2017, pp. 1--10.
    7. W.-P. Düll, B. Hilder, and G. Schneider, “Analysis of the embedded cell method in 1D for the numerical homogenization of metal-ceramic composite materials.,” J. Appl. Anal., 2017.
    8. W.-P. Düll, B. Hilder, and G. Schneider, “Analysis of the embedded cell method in 2D for the numerical homogenization of metal-ceramic composite materials.,” European J. Appl. Math., 2017.
  5. E

    1. H. Ebel, E. Sharafian Ardakani, and P. Eberhard, “Distributed Model Predictive Formation Control with Discretization-Free Path Planning for Transporting a Load. Robotics and Autonomous Systems,” Robotics and Autonomous Systems, vol. 96, pp. 211--223, 2017.
    2. H. Ebel, E. Sharafian Ardakani, and P. Eberhard, “Comparison of Distributed Model Predictive Control Approaches for Transporting a Load by a Formation of Mobile Robots,” Proceedings of the 8th ECCOMAS Thematic Conference on Multibody Dynamics, 2017.
    3. W. Ehlers and C. Luo, “A phase-field approach embedded in the Theory of Porous Media for the description of dynamic hydraulic fracturing,” Computer Methods in Applied Mechanics and Engineering, vol. 315, pp. 348--368, 2017.
    4. M. P. Englert, “Learning Manipulation Skills from a Single Demonstration,” International Journal of Robotics Research, 2017.
  6. F

    1. S. Fechter, C.-D. Munz, C. Rohde, and C. Zeiler, “Approximate Riemann solver for compressible liquid vapor flow with phase transition and surface tension,” Computers & Fluids, 2017.
    2. S. Fechter, C.-D. Munz, C. Rohde, and C. Zeiler, “A sharp interface method for compressible liquid-vapor flow with  phase transition and surface tension,” J. Comput. Phys., vol. 336, pp. 347–374, 2017.
    3. J. Fehr, D. Grunert, A. Bhatt, and B. Hassdonk, “A Sensitivity Study of Error Estimation in Reduced Elastic Multibody  Systems,” in Proceedings of MATHMOD 2018, Vienna, Austria, 2017.
    4. J. Fehr and C. Kleinbach, “Optimal Deceleration of Surrogate Models in a Generic Side Impact Setup. International Journal of Crashworthiness,” International Journal of Crashworthiness, 2017.
    5. M. Feistauer, O. Bartos, F. Roskovec, and A.-M. S�ndig, “Analysis of the FEM and DGM for an elliptic problem with a nonlinear  Newton boundary condition,” Proceeding of the EQUADIFF 17, pp. 127–136, 2017.
    6. M. Feistauer, F. Roskovec, and A.-M. S�ndig, “Discontinuous Galerkin Method for an Elliptic Problem with Nonlinear  Boundary Conditions in a Polygon,” IMA, vol. 00, pp. 1–31, 2017.
    7. O. Fernandes, S. Frey, and T. Ertl, “Transportation-based Visualization of Energy Conversion,” IVAPP, p. 12, 2017.
    8. M. Fetzer and C. W. Scherer, “Absolute stability analysis of discrete time feedback interconnections,” 20th IFAC World Congres, 2017.
    9. M. Fetzer and C. W. Scherer, “Full-block multipliers for repeated, slope restricted scalar nonlinearities,” Int. J. Robust Nonlin., 2017.
    10. M. Fetzer and C. W. Scherer, “Zames-Falb Multipliers for Invariance,” IEEE Control Systems Letters, vol. 1, no. 2, pp. 412–417, 2017.
    11. M. Fetzer, C. W. Scherer, and J. Veenman, “Invariance with Dynamic Multipliers,” IEE T. Automat. Contr., 2017.
    12. M. Fetzer, “From classical absolute stability tests towards a comprehensive robustness analysis,” PhD dissertation, Stuttgart, 2017.
    13. T. Fetzer, C. Grüninger, B. Flemisch, and R. Helmig, “On the Conditions for Coupling Free Flow and Porous-Medium Flow in a Finite Volume Framework,” Finite Volumes for Complex Applications VIII, pp. 347--356, 2017.
    14. S. Fischer and I. Steinwart, Sobolev Norm Learning Rates for Regularized Least-Squares Algorithm. 2017.
    15. S. Frey, “Sampling and Estimation of Pairwise Similarity in Spatio-Temporal Data Based on Neural Networks,” Informatics, 2017.
    16. S. Frey and T. Ertl, “Fast Flow-based Distance Quantification and Interpolation for High-Resolution Density Distributions,” EuroGraphics 2017, Short Paper, 2017.
    17. S. Frey and T. Ertl, “Progressive Direct Volume-to-Volume Transformation,” IEEE Transactions on Visualization and Computer Graphics, vol. 23, pp. 921--930, 2017.
    18. F. Fritzen and M. Hassani, “Space-time model order reduction for nonlinear viscoelastic systems subjected to long-term loading,” Meccanica, vol. 52, no. 276, pp. 1--23, 2017.
    19. S. Funke, T. Mendel, A. Miller, S. Storandt, and M. Wiebe, “Map Simplification with Topology Constraints: Exactly and in Practice,” in Proceedings of the Ninteenth Workshop on Algorithm Engineering and  Experiments, ALENEX 2017, Barcelona, Spain, Hotel Porta Fira, January  17-18, 2017., 2017, pp. 185--196.
  7. G

    1. F. D. Gaspoz, C. Kreuzer, K. Siebert, and D. Ziegler, “A convergent time-space adaptive $dG(s)$ finite element method for  parabolic problems motivated by equal error distribution,” Submitted, 2017.
    2. F. D. Gaspoz, P. Morin, and A. Veeser, “A posteriori error estimates with point sources in fractional sobolev  spaces,” Numerical Methods for Partial Differential Equations, vol. 33, no. 4, pp. 1018--1042, 2017.
    3. F. D. Gaspoz and P. Morin, “APPROXIMATION CLASSES FOR ADAPTIVE HIGHER ORDER FINITE ELEMENT    APPROXIMATION (vol 83, pg 2127, 2014),” MATHEMATICS OF COMPUTATION, vol. 86, no. 305, pp. 1525–1526, 2017.
    4. A. Gholami, A. Mang, K. Scheufele, C. Davatzikos, M. Mehl, and G. Biros, “A Framework for Scalable Biophysics-based Image Analysis,” Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis SC17, pp. 19:1--19:13, 2017.
    5. J. Giesselmann, F. Meyer, and C. Rohde, “A posteriori error analysis for random scalar conservation laws using  the Stochastic Galerkin method.,” 2017.
    6. J. Giesselmann and T. Pryer, “Goal-oriented error analysis of a DG scheme for a second gradient  elastodynamics model,” in Finite Volumes for Complex Applications VIII-Methods and Theoretical  Aspects, 2017, vol. 199.
    7. J. Giesselmann and A. E. Tzavaras, “Stability properties of the Euler-Korteweg system with nonmonotone  pressures,” Appl. Anal., vol. 96, no. 9, pp. 1528–1546, 2017.
    8. J. Giesselmann and T. Pryer, “A posteriori analysis for dynamic model adaptation in convection  dominated problems,” Math. Models Methods Appl. Sci. (M3AS), vol. 27, no. 13, pp. 2381-- 2423, 2017.
    9. J. Giesselmann, C. Lattanzio, and A. E. Tzavaras, “Relative Energy for the Korteweg Theory and Related Hamiltonian Flows in Gas Dynamics,” ARCHIVE FOR RATIONAL MECHANICS AND ANALYSIS, vol. 223, no. 3, pp. 1427–1484, 2017.
    10. D. Gläser, R. Helmig, B. Flemisch, and H. Class, “A discrete fracture model for two-phase flow in fractured porous media,” Advances in Water Resources, vol. 110, pp. 335--348, 2017.
    11. G. Goebel and F. Allgöwer, “Semi-explicit MPC based on subspace clustering,” Automatica, vol. 83, pp. 309--316, 2017.
    12. G. Goebel and F. Allgöwer, “New results on semi-explicit and almost explicit MPC algorithms,” at-Automatisierungstechnik, vol. 65, pp. 245--259, 2017.
    13. M. Greis, H. Schuff, M. Kleiner, N. Henze, and A. Schmidt, Input Controls for Entering Uncertain Data: Probability Distribution Sliders. 2017.
    14. A. Guthke, “Defensible Model Complexity: A Call for Data-Based and Goal-Oriented Model Choice,” Groundwater, vol. 55, pp. 646--650, 2017.
    15. R. Gutt, M. Kohr, S. Mikhailov, and W. L. Wendland, “On the mixed problem for the semilinear Darcy-Forchheimer-Brinkman  systems in Besov spaces on creased Lipschitz domains,” Math. Meth. Appl. Sci., vol. 18, pp. 7780–7829, 2017.
    16. R. Gutt, M. Kohr, S. E. Mikhailov, and W. L. Wendland, “On the mixed problem for the semilinear Darcy-Forchheimer-Brinkman PDE    system in Besov spaces on creased Lipschitz domains,” MATHEMATICAL METHODS IN THE APPLIED SCIENCES, vol. 40, no. 18, pp. 7780–7829, 2017.
    17. F. S. Göküzüm and M.-A. Keip, “An Algorithmically Consistent Macroscopic Tangent Operator for FFT-based Computational Homogenization,” International Journal for Numerical Methods in Engineering, 2017.
  8. H

    1. J. Haas et al., “Challenges and trends of energy storage expansion planning for flexibility provision in power systems - a review,” Renewable and Sustainable Energy Reviews, vol. 80, pp. 603–619, 2017.
    2. B. Haasdonk and G. Santin, “Greedy Kernel Approximation for Sparse Surrogate Modelling,” Reduced-Order Modeling (ROM) for Simulation and Oprimization, 2017.
    3. B. Haasdonk, “Reduced Basis Methods for Parametrized PDEs -- A Tutorial Introduction  for Stationary and Instationary Problems,” in Model Reduction and Approximation: Theory and Algorithms, P. Benner, A. Cohen, M. Ohlberger, and K. Willcox, Eds. SIAM, Philadelphia, 2017, pp. 65--136.
    4. M. Hahn, U. Breitenbücher, O. Kopp, and F. Leymann, “Modeling and execution of data-aware choreographies: an overview,” Computer Science - Research and Development, 2017.
    5. M. Hahn, U. Breitenbücher, F. Leymann, and A. Weiß, “TraDE - A Transparent Data Exchange Middleware for Service Choreographies,” Lecture Notes in Computer Science (LNCS), vol. 10573, pp. 252--270, 2017.
    6. W. Halter, J. M. Montenbruck, and F. Allgöwer, “Systems with integral resource consumption,” Proc. 56th IEEE Conf. Decision and Control (CDC), pp. 2667--2673, 2017.
    7. D. Hamann, N.-P. Walz, A. Fischer, M. Hanss, and P. Eberhard, “Fuzzy arithmetical stability analysis of uncertain machining systems,” Mechanical Systems and Signal Processing, vol. 98, no. 1, p. 14, 2017.
    8. H. Hang and I. Steinwart, A Bernstein-type Inequality for Some Mixing Processes and Dynamical Systems with an Application to Learning. 2017.
    9. H. Harbrecht, W. L. Wendland, and N. Zorii, “Riesz energy problems for strongly singular kernels,” Math. Nachr., 2017.
    10. F. Hempert et al., “Simulation of real gas effects in supersonic methane jets using a tabulated equation of state with a discontinuous Galerkin spectral element method,” Computers & Fluids, vol. 145, pp. 167--179, 2017.
    11. M. Herschel, R. Diestelkämper, and H. Ben Lahmar, “A survey on provenance: What for? What form? What from?,” International Journal on Very Large Data Bases, vol. 26, no. 6, pp. 881--906, 2017.
    12. A. Hessenthaler, O. Röhrle, and D. Nordsletten, “Validation of a non-conforming monolithic fluid-structure interaction method using phase-contrast MRI,” International Journal for Numerical Methods in Biomedical Engineering, vol. 33, 2017.
    13. A. Hessenthaler, N. Gaddum, O. Holub, R. Sinkus, O. Röhrle, and D. Nordsletten, “Experiment for validation of fluid-structure interaction models and algorithms,” International Journal for Numerical Methods in Biomedical Engineering, vol. 33, 2017.
    14. M. Hintermueller, C. N. Rautenberg, T. Wu, and A. Langer, “Optimal Selection of the Regularization Function in a Weighted Total    Variation Model. Part II: Algorithm, Its Analysis and Numerical Tests,” JOURNAL OF MATHEMATICAL IMAGING AND VISION, vol. 59, no. 3, SI, pp. 515–533, 2017.
    15. M. Hintermüller, C. N. Rautenberg, T. Wu, and A. Langer, “Optimal Selection of the Regularization Function in a Weighted Total Variation Model. Part II: Algorithm, Its Analysis and Numerical Tests,” Journal of Mathematical Imaging and Vision, vol. 59, pp. 515--533, 2017.
    16. M. Hintermüller, C. N. Rautenberg, T. Wu, and A. Langer, “Optimal Selection of the Regularization Function in a Weighted Total  Variation Model. Part II: Algorithm, Its Analysis and Numerical Tests,” Journal of Mathematical Imaging and Vision, pp. 1--19, 2017.
    17. M. Hintermüller, A. Langer, C. N. Rautenberg, and T. Wu, “Adaptive regularization for reconstruction from subsampled data.” WIAS Preprint No. 2379, 2017.
    18. S. Hirschmann, M. Brunn, M. Lahnert, M. Mehl, C. W. Glass, and D. Pflüger, “Load balancing with p4est for Short-Range Molecular Dynamics with ESPResSo,” Advances in Parallel Computing, vol. 32, pp. 455--464, 2017.
    19. S. Hocker, D. Rapp, and S. Schmauder, “Molecular dynamics simulations of strengthening due to silver precipitates in copper matrix,” physica status solidi (b), 2017.
    20. A. Hofmann and M. Hanss, “Fuzzy arithmetical controller design for active road vehicle suspension in the presence of uncertainties,” 2017 22nd International Conference on Methods and Models in Automation and Robotics (MMAR), pp. 582--587, 2017.
  9. J

    1. A. Jensch, C. Thomaseth, and N. E. Radde, “Sampling-based Bayesian approaches reveal the importance of quasi-bistable behavior in cellular decision processes on the example of the MAPK signaling pathway in PC-12 cell lines,” BMC SYSTEMS BIOLOGY, vol. 11, no. 1, 2017.
  10. K

    1. B. Kane, R. Klöfkorn, and C. Gersbacher, “hp--Adaptive Discontinuous Galerkin Methods for Porous Media Flow,” in International Conference on Finite Volumes for Complex Applications, 2017, pp. 447--456.
    2. B. Kane, “Using DUNE-FEM for Adaptive Higher Order Discontinuous Galerkin  Methods for Two-phase Flow in Porous Media,” Archive of Numerical Software, vol. 5, no. 1, pp. 129--149, 2017.
    3. G. Karch et al., “Visual analysis of inclusion dynamics in two-phase flow,” IEEE Transactions on Visualization and Computer Graphics, 2017.
    4. M.-A. Keip and O. Nadgir, “An electro-elastic phase-field model for nematic liquid crystal elastomers based on Landau-de-Gennes theory,” GAMM-Mitteilungen, vol. 40, pp. 102--124, 2017.
    5. M.-A. Keip and M. Rambausek, “Computational and analytical investigations of shape effects in the experimental characterization of magnetorheological elastomers,” International Journal of Solids and Structures, vol. 121, pp. 1--20, 2017.
    6. M.-A. Keip and M. Rambausek, “Computational and analytical investigations of shape effects in the experimental characterization of magnetorheological elastomers,” International Journal of Solids and Structures, 2017.
    7. C. Kleinbach, O. Martynenko, J. Promies, D. F. B. Haeufle, J. Fehr, and S. Schmitt, “Implementation and validation of the extended Hill-type muscle model with robust routing capabilities in LS-DYNA for active human body models,” BioMedical Engineering OnLine, vol. 16:109, p. 28, 2017.
    8. T. Koeppl, M. Fedoseyev, and R. Helmig, Simulation of surge reduction systems using dimensionally reduced models. 2017.
    9. M. Kohr, D. Medkova, and W. L. Wendland, “On the Oseen-Brinkman flow around an (m-1)-dimensional obstacle,” Monatshefte f�r Mathematik, vol. 483, pp. 269–302, 2017.
    10. M. Kohr, S. Mikhailov, and W. L. Wendland, “Transmission problems for the Navier-Stokes and Darcy-Forchheimer-Brinkman  systems in Lipschitz domains on compact Riemannian mani,” J of Mathematical Fluid Mechanics, vol. 19, pp. 203–238, 2017.
    11. M. Koy et al., “High Oxidation State Molybdenum N-Heterocyclic Carbene Alkylidyne Complexes: Synthesis, Mechanistic Studies, and Reactivity,” Chemistry – A European Journal, vol. 23, no. 61, pp. 1521--3765, 2017.
    12. K. Kuritz, D. Stöhr, N. Pollak, and F. Allgöwer, “On the relationship between cell cycle analysis with ergodic principles        and age-structured cell population models,” J. Theor. Biol., vol. 414, pp. 91–102, 2017.
    13. K. Kuritz, D. Stöhr, N. Pollak, and F. Allgöwer, “On the relationship between cell cycle analysis with ergodic principles and age-structured cell population models,” Journal of Theoretical Biology, vol. 414, pp. 91--102, 2017.
    14. K. Kuritz, D. Stöhr, N. Pollak, and F. Allgöwer, “Reconstructing dynamic processes from high dimensional snap shot        data.” Blacksbourg, VA, 2017.
    15. M. Kutter, C. Rohde, and A.-M. Sändig, “Well-Posedness of a Two Scale Model for Liquid Phase Epitaxy with  Elasticity,” Contin. Mech. Thermodyn., vol. 29, no. 4, pp. 989–1016, 2017.
    16. J. Köhler, M. A. Müller, N. Li, and F. Allgöwer, “Real Time Economic Dispatch for Power Networks: A Distributed Economic Model Predictive Control Approach,” Proceedings of 56th Annual Conference on Decision and Control (CDC), pp. 6340--6345, 2017.
    17. P. N. Köhler, M. A. Müller, J. Pannek, and F. Allgöwer, “On Exploitation of Supply Chain Properties by Sequential Distributed MPC,” Proceedings of the 20th IFAC World Congress, vol. 50, no. 1, pp. 7947--7952, 2017.
    18. M. Köppel, I. Kröker, and C. Rohde, “Intrusive Uncertainty Quantification for Hyperbolic-Elliptic Systems  Governing Two-Phase Flow in Heterogeneous Porous Media,” Computational Geosciences, vol. 21, no. 4, pp. 807--832, 2017.
    19. M. Köppel et al., “Comparison of data-driven uncertainty quantification methods for  a carbon dioxide storage benchmark scenario,” 2017.
    20. M. Köppel et al., Comparison of data-driven uncertainty quantification methods for a carbon dioxide storage benchmark scenario. 2017.
    21. M. K�ppel, I. Kr�ker, and C. Rohde, “Intrusive Uncertainty Quantification for Hyperbolic-Elliptic Systems  Governing Two-Phase Flow in Heterogeneous Porous Media,” Comput. Geosci., vol. 21, pp. 807–832, 2017.
  11. L

    1. A. Langer, “Automated Parameter Selection in the L1-L2-TV Model for Removing  Gaussian Plus Impulse Noise,” Inverse Problems, vol. 33, p. 41, 2017.
    2. A. Langer, “Automated Parameter Selection for Total Variation Minimization in  Image Restoration,” Journal of Mathematical Imaging and Vision, vol. 57, pp. 239--268, 2017.
    3. M. Leuschner and F. Fritzen, “Reduced order homogenization for viscoplastic composite materials including dissipative imperfect interfaces,” Mechanics of Materials, vol. 104, pp. 121--138, 2017.
    4. S. Linsenmayer, D. V. Dimarogonas, and F. Allgöwer, “Event-Based Vehicle Coordination Using Nonlinear Unidirectional Controllers,” IEEE Transactions on Control of Network Systems, 2017.
    5. S. Linsenmayer, R. Blind, and F. Allgöwer, “Delay-dependent data rate bounds for containability of scalar systems,” Proceedings of the 20th IFAC World Congress, pp. 7875--7880, 2017.
    6. S. Linsenmayer and F. Allgöwer, “Stabilization of Networked Control Systems with weakly hard real-time dropout description,” Proceedings of the 56th IEEE Conference on Decision and Control (CDC), pp. 4765--4770, 2017.
    7. M. Lorenzen, M. A. Müller, and F. Allgöwer, “Stabilizing Stochastic MPC without Terminal Constraints,” Proceedings of the American Control Conference, pp. 5636--5641, 2017.
    8. M. Lorenzen, F. Dabbene, R. Tempo, and F. Allgöwer, “Constraint-Tightening and Stability in Stochastic Model Predictive Control,” IEEE Transactions on Automatic Control, vol. 62, pp. 3165--3177, 2017.
    9. M. Lorenzen, F. Allgöwer, and M. Cannon, “Adaptive Model Predictive Control with Robust Constraint Satisfaction,” Proceedings of the IFAC World Congress, vol. 50, no. 1, pp. 3313--3318, 2017.
    10. M. Lorenzen, M. A. Müller, and F. Allgöwer, “Stochastic Model Predictive Control without Terminal Constraints,” International Journal of Robust and Nonlinear Control, 2017.
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    1. J. Magiera and C. Rohde, “A Particle-based Multiscale Solver for Compressible Liquid-Vapor  Flow,” erscheint bei Springer Proc. Math. Stat., 2017.
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    3. D. Markthaler, J. Gebhardt, S. Jakobtorweihen, and N. Hansen, “Molecular Simulations of Thermodynamic Properties for the System alpha-Cyclodextrin/Alcohol in Aqueous Solution,” Chemie Ingenieur Technik, 2017.
    4. I. Martini, G. Rozza, and B. Haasdonk, “Certified Reduced Basis Approximation for the Coupling of Viscous  and Inviscid Parametrized Flow Models,” Journal of Scientific Computing, 2017.
    5. V. Maz’ya, D. Natroshvili, E. Shargorodsky, and W. L. Wendland, Eds., Recent Trends in Operator Theory and Partial Differential Equations.  The Roland Duduchava Anniverary Volume, no. 258. Birkhäuser/Springer International, 2017.
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    9. H. Minbashian, H. Adibi, and M. Dehghan, “On Resolution of Boundary Layers of Exponential Profile with Small  Thickness Using an Upwind Method in IGA.” 2017.
    10. H. Minbashian, “Wavelet-based Multiscale Methods for Numerical Solution of Hyperbolic  Conservation Laws,” PhD dissertation, Amirkabir University of Technology (Tehran 11/2017 Polytechnic),  Tehran, Iran., 2017.
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    14. J. M. Montenbruck and F. Allgöwer, “Separable matrices and minimum complexity controllers,” Proc. 56th IEEE Conf. Decision and Control (CDC), pp. 4187--4192, 2017.
    15. J. M. Montenbruck and F. Allgöwer, “An Input-Output Framework for Submanifold Stabilization,” IEEE Trans. Automat. Control, vol. 62, pp. 5170--5184, 2017.
    16. M. Mordhorst, T. Strecker, D. Wirtz, T. Heidlauf, and O. Röhrle, “POD-DEIM reduction of computational EMG models,” Journal of Computational Science, vol. 19, pp. 86--96, 2017.
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    1. D. Pedroso, Y. Zhang, and W. Ehlers, “Solution of Liquid-Gas-Solid Coupled Equations for Porous Media Considering Dynamics and Hysteretic Retention Behavior,” Journal of Engineering Mechanics, vol. 143, p. 04017021, 2017.
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    1. C. Rohde, “Fully Resolved Compressible Two-Phase Flow: Modelling, Analytical  and Numerical Issues,” 2017.
    2. A. Romer, J. M. Montenbruck, and F. Allgöwer, “Sampling strategies for data-driven inference of passivity properties,” Proc. 56th IEEE Conf. Decision and Control (CDC), pp. 6389--6394, 2017.
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    7. A. Schmidt and B. Haasdonk, “Data-driven surrogates of value functions and applications to feedback  control for dynamical systems,” University of Stuttgart, 2017.
    8. A. Schmidt and B. Haasdonk, “Reduced basis approximation of large scale parametric algebraic Riccati  equations,” ESAIM: Control, Optimisation and Calculus of Variations, 2017.
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    8. G. Tkachev, S. Frey, C. Mu?ller, V. Bruder, and T. Ertl, “Prediction of Distributed Volume Visualization Performance to Support Render Hardware Acquisition,” Eurographics Symposium on Parallel Graphics and Visualization, 2017.
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    1. I. Zderic et al., “Bone cement allocation analysis in artificial cancellous bone structures,” Journal of Orthopaedic Translation, vol. 8, pp. 40--48, 2017.
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