- 2022
- 748.J. Glueck and M. Kaplin, "Order boundedness and order continuity properties of positive operator semigroups", 2022.
- 747.B. Lang, "Space-Partitioned ND-Trees for the Dynamic Nondominance Problem", IEEE Trans. Evol. Comput., vol. Early Access, 2022.
- 746.B. Ruediger, A. Tordeux and B. Ugurcan, "Stability analysis of a stochastic port-Hamiltonian car-following model", 2022.
- 745.J. Glueck and A. Mironchenko, "Stability criteria for positive $C_0$-semigroups on ordered Banach spaces", 2022.
- 744.S. Arora and J. Glück, "Stability of (eventually) positive semigroups on spaces of continuous functions", C. R., Math., Acad. Sci. Paris, vol. 360, pp. 771--775, 2022.
- 743.J. Glueck, B. Jacob, A. Meyer, C. Wyss and H. Zwart, "Stability of linear infinite-dimensional port-Hamiltonian systems via closure relations", 2022.
- 742.M. Gerlach, J. Glück and M. Kunze, "Stability of transition semigroups and applications to parabolic equations", To appear in Trans. Amer. Math. Soc., 2022.
- 741.T. Riedlinger, M. Schubert, K. Kahl, H. Gottschalk and M. Rottmann, "Towards Rapid Prototyping and Comparability in Active Learning for Deep Object Detection", 2022.
- 740.S. Uhlemeyer, M. Rottmann and H. Gottschalk, "Towards Unsupervised Open World Semantic Segmentation", CoRR, vol. abs/2201.01073, no. Preprint imacm_22_01, 2022.
- 739.M. Bolten, O. T. Doganay, H. Gottschalk and K. Klamroth, "Tracing locally Pareto optimal points by numerical integration", SIAM Journal on Control and Optimization, vol. 59, no. 5, pp. 3302-3328, 2022.
- 738.K. Maag, R. Chan, S. Uhlemeyer, K. Kowol and H. Gottschalk, "Two Video Data Sets for Tracking and Retrieval of Out of Distribution Objects", 2022.
- 737.J. Burghoff, R. Chan, H. Gottschalk, A. Muetze, T. Riedlinger, M. Rottmann and M. Schubert, "Uncertainty Quantification and Resource-Demanding Computer Vision Applications of Deep Learning", CoRR, vol. abs/2205.14917, 2022.
- 736.J. Glück and F. G. Martin, "Uniform convergence of stochastic semigroups", Israel J. Math., vol. 247, no. 1, pp. 1--19, 2022.
- 2021
- 735.D. Pauly and N. Skrepek, "A Compactness Result for the div-curl System with Inhomogeneous Mixed Boundary Conditions for Bounded Lipschitz Domains and Some Applications", 2021.
- 734.N. Edeko, M. Haase and H. Kreidler, "A Decomposition Theorem for Unitary Group Representations on Kaplansky-Hilbert Modules and the Furstenberg-Zimmer Structure Theorem", 2021.
- 733.T. Kossaczka, M. Ehrhardt and M. Günther, "A Deep Smoothness WENO Method with Applications in Option Pricing" , 2021.
- 732.N. Edeko, H. Kreidler and R. Nagel, "A dynamical proof of the van der Corput inequality", 2021.
- 731.A. Clevenhaus, C. Totzeck and M. Ehrhardt, "A Gradient Descent Algorithm for the Heston Model" , 2021.
- 730.B. Farkas, B. Nagy and S. Révész, "A homeomorphism theorem for sums of translates" , 2021.
- 729.A. Gabbana, Simoni, S. Succi and R. Tripiccione, "A Lattice Boltzmann Method for Relativistic Rarefied Flows in (2+1) Dimensions" , 2021.
- 728.T. Schnepper, K. Klamroth, J. Puerto and M. Stiglmayr, "A Local Analysis to Determine All Optimal Solutions of p-k-max Location Problems on Networks", Discrete Applied Mathematics, vol. 296, pp. 217-234, 2021.
- 727.A. Frommer, K. Kahl, F. Knechtli, M. Rottmann, A. Strebel and I. Zwaan, "A multigrid accelerated eigensolver for the Hermitian Wilson--Dirac operator in lattice QCD", Computer Physics Communications, vol. 258, pp. 107615, 2021. Elsevier.
- 726.A. Frommer, M. Nasr Khalil and G. Ramirez-Hidalgo, "A Multilevel Approach To Variance Reduction In The Stochastic Estimation Of The Trace Of A Matrix" , 2021.
- 725.T. Kossacká and M. Ehrhardt, "A Neural Network Enhanced WENO Method for Nonlinear Degenerate Parabolic Equations" , 2021.
- 724.S. M. Treibert, H. Brunner and M. Ehrhardt, "A Nonstandard Finite Difference Scheme for the SVICDR model to predict COVID-19 dynamics" , 2021.
- 723.J. Glück, "A note on the fixed space of positive contractions", 2021.
- 722.A. Clevenhaus and M. Ehrhardt, "A parallel Sparse Grid Combination Technique using the Parareal Algorithm" , 2021.
- 720.H. Gottschalk and M. Reese, "An analytical study in multi-physics and multi-criteria shape optimization", Journal of Optimization Theory and Applications, vol. 189, no. 2, pp. 486--512, 2021. Springer.
- 719.S. Treibert and M. Ehrhardt, "An Unsupervised Physics-Informed Neural Network to Model COVID-19 Infection and Hospitalization Scenarios" , 2021.
- 718.S. Varghese, S. Gujamagadi, M. Klingner, N. Kapoor, A. Bar, J. D. Schneider, K. Maag, P. Schlicht, F. Hüger and T. Fingscheidt, "An Unsupervised Temporal Consistency (TC) Loss to Improve the Performance of Semantic Segmentation Networks" in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2021, pp. 12--20.
- 717.D. Brüggemann, S. Bracke, H. Gottschalk, M. Rottmann, K. Maag, R. Chan and M. Schubert, "Ansätze zur Verbesserung KI-basierter Systeme für das autonome Fahren" in Qualitätsmanagement in den 20er Jahren-Trends und Perspektiven, Springer, 2021, pp. 100--119.
- 716.T. Schäfers and L. Teng, "Asymmetry in stochastic volatility models with threshold and time-dependent correlation" , 2021.
- 715.J. Hahne, B. S. Southworth and S. Friedhoff, "Asynchronous Truncated Multigrid-reduction-in-time (AT-MGRIT)" , 2021.
- 714.C. Drygala, M. Rottmann, H. Gottschalk, K. Friedrichs and T. Kurbiel, "Background-Foreground Segmentation for Interior Sensing in Automotive Industry", CoRR, vol. abs/2109.09410, no. Preprint imacm_21_29, 2021.
- 713.D. Gaul and D. R. Schmidt, "Chvátal-Gomory cuts for the Steiner tree problem", Discrete Applied Mathematics, vol. 291, pp. 188-200, 2021.
- 712.L. Paquete, B. Schulze, M. Stiglmayr and A. C. Lourenço, "Computing Representations using Hypervolume Scalarizations", Computers and Operations Research, 2021.
- 711.B. Jacob, F. Schwenninger and L. Vorberg, "Correction to: Remarks on input-to-state stability of collocated systems with saturated feedback", Math. Control Signals Systems, vol. 33, pp. 195, 2021.
- 710.M. Muniz and M. Ehrhardt, "Correlation Matrices driven by Stochastic Isospectral Flows" , 2021.
- 709.M. Stiglmayr, J. R. Figueira, K. Klamroth, L. Paquete and B. Schulze, "Decision Space Robustness for Multiobjective Integer Linear Programming", Annals of Operations Research, 2021.
- 708.P. R. Bähr, B. Lang, P. Ueberholz, M. Ady and R. Kersevan, "Development of a hardware-accelerated simulation kernel for ultra-high vacuum with Nvidia RTX GPUs", Int. J. High Perform. Comput. Appl., vol. OnlineFirst, 2021.
- 707.J. Jäschke, M. Ehrhardt and B. Jacob, "Discrete port-Hamiltonian Coupled Heat Transfer" , 2021.
- 706.H. Gottschalk, M. Rottmann and M. Saltagic, "Does Redundancy in AI Perception Systems Help to Test for Super-Human Automated Driving Performance?", CoRR, vol. abs/2112.04758, no. Preprint imacm_21_36, 2021.
- 705.M. Günther, A. Bartel, B. Jacob and T. Reis, "Dynamic iteration schemes and port-Hamiltonian formulation in coupled DAE circuit simulation", International Journal of Circuit Theory and Applications, vol. 49, no. 2, pp. 430--452, 2021.
- 704.M. Felpel, K. J. and T. A. McWalter, "Effective Markovian Projection: Application to CMS Spread Options and Mid-Curve Swaptions" , 2021.
- 703.T. Kossaczka, M. Ehrhardt and M. Günther, "Enhanced fifth order WENO Shock-Capturing Schemes with Deep Learning" , 2021.
- 702.R. Chan, M. Rottmann and H. Gottschalk, "Entropy maximization and meta classification for out-of-distribution detection in semantic segmentation" in Proceedings of the ieee/cvf international conference on computer vision, 2021, pp. 5128--5137.
- 701.D. Gaul, K. Klamroth and M. Stiglmayr, "Event-based MILP models for ride-hailing applications" , 2021.
- 700.D. Gaul, K. Klamroth and M. Stiglmayr, "Event-based MILP models for ridepooling applications", European Journal of Operational Research, 2021.
- 699.J. Glück and D. Mugnolo, "Eventual domination for linear evolution equations", Math. Z., vol. 299, no. 3-4, pp. 1421--1443, 2021.
zuletzt bearbeitet am: 24.06.2022
