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487 Publications
2021 | Conference Paper | LibreCat-ID: 21572
Ridderbusch S, Offen C, Ober-Blöbaum S, Goulart P. Learning ODE Models with Qualitative Structure Using Gaussian Processes . In: 2021 60th IEEE Conference on Decision and Control (CDC). IEEE; 2021:2896. doi:10.1109/CDC45484.2021.9683426
LibreCat
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| DOI
| arXiv
2021 | Conference Paper | LibreCat-ID: 29868
Jiménez F, Ober-Blöbaum S. Fractional Damping Through Restricted Calculus of Variations. In: Nichtlineare Sci 31. Vol 46. J Nonlinear Sci . ; 2021.
LibreCat
2021 | Journal Article | LibreCat-ID: 45967
Binz T, Kovács B. A convergent finite element algorithm for mean curvature flow in higher codimension. arXiv. Published online 2021.
LibreCat
2021 | Journal Article | LibreCat-ID: 45962
Binz T, Kovács B. A convergent finite element algorithm for generalized mean curvature flows of closed surfaces. IMA Journal of Numerical Analysis. 2021;42(3):2545-2588. doi:10.1093/imanum/drab043
LibreCat
| DOI
2021 | Journal Article | LibreCat-ID: 45957
Harder P, Kovács B. Error estimates for the Cahn–Hilliard equation with dynamic boundary conditions. IMA Journal of Numerical Analysis. 2021;42(3):2589-2620. doi:10.1093/imanum/drab045
LibreCat
| DOI
2021 | Journal Article | LibreCat-ID: 45961
Nick J, Kovács B, Lubich C. Correction to: Stable and convergent fully discrete interior–exterior coupling of Maxwell’s equations. Numerische Mathematik. 2021;147(4):997-1000. doi:10.1007/s00211-021-01196-6
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| DOI
2021 | Journal Article | LibreCat-ID: 45959
Kovács B, Li B, Lubich C. A convergent evolving finite element algorithm for Willmore flow of closed surfaces. Numerische Mathematik. 2021;149(3):595-643. doi:10.1007/s00211-021-01238-z
LibreCat
| DOI
2021 | Journal Article | LibreCat-ID: 55290
Baier St, Mazumder D, Technau M. On the distribution of αp modulo one in quadratic number fields. Unif Distrib Theory. 2021;16(2):1–48. doi:10.2478/udt-2021-0006
LibreCat
| DOI
2021 | Journal Article | LibreCat-ID: 55289
Technau M, Zafeiropoulos A. Metric results on summatory arithmetic functions on Beatty sets. Acta Arith. 2021;197(1):93–104. doi:10.4064/aa200128-10-6
LibreCat
| DOI
2021 | Journal Article | LibreCat-ID: 34840
Klüners J, Komatsu T. Imaginary multiquadratic number fields with class group of exponent $3$ and $5$. Mathematics of Computation. 2021;90(329):1483-1497. doi:10.1090/mcom/3609
LibreCat
| DOI
| arXiv
2021 | Journal Article | LibreCat-ID: 34912
Kirschmer M, Narbonne F, Ritzenthaler C, Robert D. Spanning the isogeny class of a power of an elliptic curve. Mathematics of Computation. 2021;91(333):401-449. doi:10.1090/mcom/3672
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| DOI
2020 | Journal Article | LibreCat-ID: 19938
McLachlan RI, Offen C. Preservation of Bifurcations of Hamiltonian Boundary Value Problems Under Discretisation. Foundations of Computational Mathematics. 2020;20(6):1363-1400. doi:10.1007/s10208-020-09454-z
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2020 | Journal Article | LibreCat-ID: 19939 | 
Kreusser LM, McLachlan RI, Offen C. Detection of high codimensional bifurcations in variational PDEs. Nonlinearity. 2020;33(5):2335-2363. doi:10.1088/1361-6544/ab7293
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2020 | Book Chapter | LibreCat-ID: 17411
Flaßkamp K, Ober-Blöbaum S, Peitz S. Symmetry in Optimal Control: A Multiobjective Model Predictive Control Approach. In: Junge O, Schütze O, Froyland G, Ober-Blöbaum S, Padberg-Gehle K, eds. Advances in Dynamics, Optimization and Computation. Cham: Springer; 2020. doi:10.1007/978-3-030-51264-4_9
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| DOI
2020 | Journal Article | LibreCat-ID: 21819 |
Klus S, Nüske F, Hamzi B. Kernel-Based Approximation of the Koopman Generator and Schrödinger Operator. Entropy. 2020. doi:10.3390/e22070722
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2020 | Journal Article | LibreCat-ID: 10596
Schütze O, Cuate O, Martín A, Peitz S, Dellnitz M. Pareto Explorer: a global/local exploration tool for many-objective optimization problems. Engineering Optimization. 2020;52(5):832-855. doi:10.1080/0305215x.2019.1617286
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| DOI
2020 | Journal Article | LibreCat-ID: 16288
Klus S, Nüske F, Peitz S, Niemann J-H, Clementi C, Schütte C. Data-driven approximation of the Koopman generator: Model reduction, system identification, and control. Physica D: Nonlinear Phenomena. 2020;406. doi:10.1016/j.physd.2020.132416
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| DOI
2020 | Book Chapter | LibreCat-ID: 16289
Peitz S, Klus S. Feedback Control of Nonlinear PDEs Using Data-Efficient Reduced Order Models Based on the Koopman Operator. In: Lecture Notes in Control and Information Sciences. Vol 484. Lecture Notes in Control and Information Sciences. Cham: Springer; 2020:257-282. doi:10.1007/978-3-030-35713-9_10
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| DOI
2020 | Journal Article | LibreCat-ID: 16290 |
Bieker K, Peitz S, Brunton SL, Kutz JN, Dellnitz M. Deep model predictive flow control with limited sensor data and online learning. Theoretical and Computational Fluid Dynamics. 2020;34:577–591. doi:10.1007/s00162-020-00520-4
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