On the Treatment of Optimization Problems with L1 Penalty Terms via Multiobjective Continuation
K. Bieker, B. Gebken, S. Peitz, IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (2022) 7797–7808.
LibreCat: /record/20731
DOI: 10.1109/TPAMI.2021.3114962

Chow groups of orders in number fields
M. Kirschmer, J. Klüners, ArXiv:2208.14688 (2022).
LibreCat: /record/42647
arXiv: 2208.14688

-torsion bounds for the class group of number fields with an -group as Galois group
J. Klüners, J. Wang, Proceedings of the American Mathematical Society 150 (2022) 2793–2805.
LibreCat: /record/34839
DOI: 10.1090/proc/15882
arXiv: 2003.12161 

The asymptotics of nilpotent Galois groups
J. Klüners, Acta Arithmetica 204 (2022) 165–184.
LibreCat: /record/34835
DOI: 10.4064/aa211207-16-5
arXiv: 2011.04325 

Chow groups of orders in number fields
M. Kirschmer, J. Klüners, (2022).
LibreCat: /record/43392

Manifold turnpikes, trims, and symmetries
T. Faulwasser, K. Flaßkamp, S. Ober-Blöbaum, M. Schaller, K. Worthmann, Mathematics of Control, Signals, and Systems 34 (2022) 759–788.
LibreCat: /record/44624

Symmetric Set Coloring of Signed Graphs
C. Cappello, E. Steffen, Annals of Combinatorics (2022).
LibreCat: /record/33741
DOI: 10.1007/s00026-022-00593-4
arXiv: 2106.05928

Frustration-critical signed graphs
C. Cappello, E. Steffen, Discrete Applied Mathematics 322 (2022) 183–193.
LibreCat: /record/33950
DOI: 10.1016/j.dam.2022.08.010
arXiv: 2112.02664

Binary Hermitian Lattices over Number Fields
M. Kirschmer, G. Nebe, Experimental Mathematics 31 (2022) 280–301.
LibreCat: /record/45854
DOI: 10.1080/10586458.2019.1618756

Backward error analysis for variational discretisations of partial  differential equations
R.I. McLachlan, C. Offen, Journal of Geometric Mechanics 14 (2022) 447–471.
LibreCat: /record/19941
DOI: 10.3934/jgm.2022014
arXiv: 2006.14172

Symplectic integration of learned Hamiltonian systems
C. Offen, S. Ober-Blöbaum, Chaos: An Interdisciplinary Journal of Nonlinear Science 32(1) (2022).
LibreCat: /record/23382
DOI: 10.1063/5.0065913
arXiv: 2108.02492

Verification of safety critical control policies using kernel methods
N. Vertovec, S. Ober-Blöbaum, K. Margellos, in: 2022, pp. 1870–1875.
LibreCat: /record/30733

Viscoelastic Cahn–Hilliard models for tumor growth
H. Garcke, B. Kovács, D. Trautwein, Mathematical Models and Methods in Applied Sciences 32 (2022) 2673–2758.
LibreCat: /record/45970
DOI: 10.1142/s0218202522500634

Numerical analysis for the interaction of mean curvature flow and diffusion on closed surfaces
C.M. Elliott, H. Garcke, B. Kovács, Numerische Mathematik 151 (2022) 873–925.
LibreCat: /record/45969
DOI: 10.1007/s00211-022-01301-3

Time-dependent electromagnetic scattering from thin layers
J. Nick, B. Kovács, C. Lubich, Numerische Mathematik 150 (2022) 1123–1164.
LibreCat: /record/45963
DOI: 10.1007/s00211-022-01277-0

Maximal regularity of backward difference time discretization for evolving surface PDEs and its application to nonlinear problems
B. Kovács, B. Li, IMA Journal of Numerical Analysis (2022).
LibreCat: /record/45964
DOI: 10.1093/imanum/drac033

Bulk–surface Lie splitting for parabolic problems with dynamic boundary conditions
R. Altmann, B. Kovács, C. Zimmer, IMA Journal of Numerical Analysis 43 (2022) 950–975.
LibreCat: /record/45966
DOI: 10.1093/imanum/drac002

Error estimates for a splitting integrator for abstract semilinear boundary coupled systems
P. Csomós, B. Farkas, B. Kovács, IMA Journal of Numerical Analysis (2022).
LibreCat: /record/45968
DOI: 10.1093/imanum/drac079

Stability and error estimates for non-linear Cahn–Hilliard-type equations on evolving surfaces
C.A. Beschle, B. Kovács, Numerische Mathematik 151 (2022) 1–48.
LibreCat: /record/45958
DOI: 10.1007/s00211-022-01280-5

FEM-BEM Coupling for the Maxwell–Landau–Lifshitz–Gilbert Equations via Convolution Quadrature: Weak Form and Numerical Approximation
J. Bohn, M. Feischl, B. Kovács, Computational Methods in Applied Mathematics 23 (2022) 19–48.
LibreCat: /record/45956
DOI: 10.1515/cmam-2022-0145

Tensor-based computation of metastable and coherent sets
F. Nüske, P. Gelß, S. Klus, C. Clementi, Physica D: Nonlinear Phenomena (2021).
LibreCat: /record/24169
DOI: 10.1016/j.physd.2021.133018

Symmetric and antisymmetric kernels for machine learning problems in quantum physics and chemistry
S. Klus, P. Gelß, F. Nüske, F. Noé, Machine Learning: Science and Technology (2021).
LibreCat: /record/24170
DOI: 10.1088/2632-2153/ac14ad

Electrophysiological signatures of dedifferentiation differ between fit and less fit older adults
C. Goelz, K. Mora, J.K. Stroehlein, F.K. Haase, M. Dellnitz, C. Reinsberger, S. Vieluf, Cognitive Neurodynamics (2021).
LibreCat: /record/21195
DOI: 10.1007/s11571-020-09656-9

Derivative-Free Multiobjective Trust Region Descent Method Using Radial  Basis Function Surrogate Models
M.B. Berkemeier, S. Peitz, Mathematical and Computational Applications 26 (2021).
LibreCat: /record/21337
DOI: 10.3390/mca26020031

Spectral Properties of Effective Dynamics from Conditional Expectations
F. Nüske, P. Koltai, L. Boninsegna, C. Clementi, Entropy (2021).
LibreCat: /record/21820
DOI: 10.3390/e23020134

An efficient descent method for locally Lipschitz multiobjective optimization problems
B. Gebken, S. Peitz, Journal of Optimization Theory and Applications 188 (2021) 696–723.
LibreCat: /record/16867
DOI: 10.1007/s10957-020-01803-w

Inverse multiobjective optimization: Inferring decision criteria from data
B. Gebken, S. Peitz, Journal of Global Optimization 80 (2021) 3–29.
LibreCat: /record/16295
DOI: 10.1007/s10898-020-00983-z

The Computation and Analysis of Invariant Sets of Infinite-Dimensional Systems
R. Gerlach, The Computation and Analysis of Invariant Sets of Infinite-Dimensional Systems, 2021.
LibreCat: /record/32057
DOI: 10.17619/UNIPB/1-1278

Nowhere-zero 3-flows in toroidal graphs
J. Li, Y. Ma, Z. Miao, Y. Shi, W. Wang, C.-Q. Zhang, Journal of Combinatorial Theory, Series B 153 (2021) 61–80.
LibreCat: /record/34042
DOI: 10.1016/j.jctb.2021.11.001

Superconvergence of galerkin variational integrators
S. Ober-Blöbaum, M. Vermeeren, in: IFAC-PapersOnLine (Ed.), 7th IIFAC Workshop on Lagrangian and Hamiltonian Methods for Nonlinear Control LHMNC, 2021, pp. 327–333.
LibreCat: /record/29421

Explicit multiobjective model predictive control for nonlinear systems  with symmetries
S. Ober-Blöbaum, S. Peitz, International Journal of Robust and Nonlinear Control 31(2) (2021) 380–403.
LibreCat: /record/16294
DOI: 10.1002/rnc.5281

Turnpike features in optimal selection of species represented by quota models
W. Djema, L. Giraldi, S. Maslovskaya, O. Bernard, Automatica 132 (2021).
LibreCat: /record/29543
DOI: 10.1016/j.automatica.2021.109804

On 3-flow-critical graphs
J. Li, Y. Ma, Y. Shi, W. Wang, Y. Wu, European Journal of Combinatorics 100 (2021).
LibreCat: /record/32810
DOI: 10.1016/j.ejc.2021.103451

Imaginary multiquadratic number fields with class group of exponent $ and $
J. Klüners, T. Komatsu, Mathematics of Computation 90 (2021) 1483–1497.
LibreCat: /record/34840
DOI: 10.1090/mcom/3609
arXiv: 2004.03308v2

Spanning the isogeny class of a power of an elliptic curve
M. Kirschmer, F. Narbonne, C. Ritzenthaler, D. Robert, Mathematics of Computation 91 (2021) 401–449.
LibreCat: /record/34912
DOI: 10.1090/mcom/3672

Bifurcation preserving discretisations of optimal control problems
C. Offen, S. Ober-Blöbaum, 54(19) (2021) 334–339.
LibreCat: /record/22894
DOI: https://doi.org/10.1016/j.ifacol.2021.11.099
arXiv: 2107.13853

Learning ODE Models with Qualitative Structure Using Gaussian Processes 
S. Ridderbusch, C. Offen, S. Ober-Blöbaum, P. Goulart, in: 2021 60th IEEE Conference on Decision and Control (CDC), IEEE, 2021, p. 2896.
LibreCat: /record/21572
DOI: 10.1109/CDC45484.2021.9683426
arXiv: 2011.05364

Multi-objective minimum time optimal control for low-thrust trajectory design
N. Vertovec, S. Ober-Blöbaum, K. Margellos, in: n.d., pp. 1975–1980.
LibreCat: /record/21592
arXiv: 2103.08813

Fractional Damping Through Restricted Calculus of Variations
F. Jiménez, S. Ober-Blöbaum, in: Nichtlineare Sci 31, 2021.
LibreCat: /record/29868

A convergent finite element algorithm for mean curvature flow in higher codimension
T. Binz, B. Kovács, ArXiv (2021).
LibreCat: /record/45967

A convergent finite element algorithm for generalized mean curvature flows of closed surfaces
T. Binz, B. Kovács, IMA Journal of Numerical Analysis 42 (2021) 2545–2588.
LibreCat: /record/45962
DOI: 10.1093/imanum/drab043

Error estimates for the Cahn–Hilliard equation with dynamic boundary conditions
P. Harder, B. Kovács, IMA Journal of Numerical Analysis 42 (2021) 2589–2620.
LibreCat: /record/45957
DOI: 10.1093/imanum/drab045

Correction to: Stable and convergent fully discrete interior–exterior coupling of Maxwell’s equations
J. Nick, B. Kovács, C. Lubich, Numerische Mathematik 147 (2021) 997–1000.
LibreCat: /record/45961
DOI: 10.1007/s00211-021-01196-6

A convergent evolving finite element algorithm for Willmore flow of closed surfaces
B. Kovács, B. Li, C. Lubich, Numerische Mathematik 149 (2021) 595–643.
LibreCat: /record/45959
DOI: 10.1007/s00211-021-01238-z

Preservation of Bifurcations of Hamiltonian Boundary Value Problems Under Discretisation
R.I. McLachlan, C. Offen, Foundations of Computational Mathematics 20 (2020) 1363–1400.
LibreCat: /record/19938
DOI: 10.1007/s10208-020-09454-z

Detection of high codimensional bifurcations in variational PDEs
L.M. Kreusser, R.I. McLachlan, C. Offen, Nonlinearity 33 (2020) 2335–2363.
LibreCat: /record/19939
DOI: 10.1088/1361-6544/ab7293

Symmetry in Optimal Control: A Multiobjective Model Predictive Control Approach
K. Flaßkamp, S. Ober-Blöbaum, S. Peitz, in: O. Junge, O. Schütze, G. Froyland, S. Ober-Blöbaum, K. Padberg-Gehle (Eds.), Advances in Dynamics, Optimization and Computation, Springer, Cham, 2020.
LibreCat: /record/17411
DOI: 10.1007/978-3-030-51264-4_9

Kernel-Based Approximation of the Koopman Generator and Schrödinger Operator
S. Klus, F. Nüske, B. Hamzi, Entropy (2020).
LibreCat: /record/21819
DOI: 10.3390/e22070722

Pareto Explorer: a global/local exploration tool for many-objective optimization problems
O. Schütze, O. Cuate, A. Martín, S. Peitz, M. Dellnitz, Engineering Optimization 52 (2020) 832–855.
LibreCat: /record/10596
DOI: 10.1080/0305215x.2019.1617286

Data-driven approximation of the Koopman generator: Model reduction, system identification, and control
S. Klus, F. Nüske, S. Peitz, J.-H. Niemann, C. Clementi, C. Schütte, Physica D: Nonlinear Phenomena 406 (2020).
LibreCat: /record/16288
DOI: 10.1016/j.physd.2020.132416