Publikationen

F. Heldmann, S. Berkhahn, M. Ehrhardt and K. Klamroth, "PINN training using biobjective optimization: The trade-off between data loss and residual loss", Journal of Computational Physics, vol. 488, pp. 112211, 2023.

DOI: 10.1016/j.jcp.2023.112211

A. Acu, M. Heilmann, I. Raşa and A. Seserman, "Poisson approximation to the binomial distribution: extensions to the convergence of positive operators", Rev. Real Acad. Cienc. Exactas Fis. Nat. Ser. A-Mat., vol. 117, 2023.

DOI: 0.1007/s13398-023-01497-5

U. Abel, A. M. Acu, M. Heilmann and I. Raşa, "Positive linear operators preserving certain monomials on [0, ∞)", Dolomites Research Notes on Approximation, vol. 16, pp. 1-9, 2023.

DOI: 10.14658/PUPJ-DRNA-2023-3-2

H. Asatryan, D. Gaul, H. Gottschalk, K. Klamroth and M. Stiglmayr, "Ridepooling and public bus services: A comparative case-study", Submitted to Transportation, 2023. arXiv.

DOI: 10.48550/ARXIV.2302.01709

A. Acu, M. Heilmann and I. Raşa, "Some results for the inverse of a Bernstein–Schnabl type operator", Analysis and Mathematical Physics, vol. 13, no. 1, 2023.

DOI: 10.1007/s13324-022-00777-4

M. Günther, B. Jacob and C. Totzeck, "Structure-preserving identification of port-Hamiltonian systems - a sensitivity-based approach", 2023.

DOI: 10.48550/arXiv.2301.02019

A. P. Guerreiro, K. Klamroth and C. M. Fonseca, "Theoretical aspects of subset selection in multi-objective optimization" in Many-Criteria Optimization and Decision Analysis, Brockhoff, D. and Emmerich, M. and Naujoks, B. and Purshouse, R., Eds. Springer, 2023, pp. 213--239.

DOI: 10.1007/978-3-031-25263-1_8

A. Acu, M. Dancs, M. Heilmann, I. Raşa and V. Paşca, "A Bernstein-Schnabl type operator", Applicable Analysis and Discrete Mathematics, vol. 16(2), pp. 495-507, 2022.

DOI: 10.2298/AADM210714011A

N. Forget, S. L. Gadegaard, K. Klamroth, L. R. Nielsen and A. Przybylski, "Branch-and-bound and objective branching with three or more objectives", Computers & Operations Research, vol. 148, 2022.

DOI: 10.1016/j.cor.2022.106012

L. Paquete, B. Schulze, M. Stiglmayr and A. C. Lourenço, "Computing Representations using Hypervolume Scalarizations", Computers and Operations Research, vol. 137, pp. 105349, 2022.

DOI: 10.1016/j.cor.2021.105349

M. Stiglmayr, J. R. Figueira, K. Klamroth, L. Paquete and B. Schulze, "Decision Space Robustness for Multiobjective Integer Linear Programming", Annals of Operations Research, vol. 319, pp. 1769--1791, 2022.

DOI: 10.1007/s10479-021-04462-w

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M. Reiners, K. Klamroth, F. Heldmann and M. Stiglmayr, "Efficient and sparse neural networks by pruning weights in a multiobjective learning approach", Computers & Operations Research, pp. 105676, 2022.

DOI: 10.1016/j.cor.2021.105676

C. Schillings, C. Totzeck and P. Wacker, "Ensemble-based gradient inference for particle methods in optimization and sampling", 2022.

DOI: 10.48550/arXiv.2209.15420

D. Gaul, K. Klamroth and M. Stiglmayr, "Event-based MILP models for ridepooling applications", European Journal of Operational Research, vol. 301, pp. 1048-1063, 2022.

DOI: 10.1016/j.ejor.2021.11.053

P. Halffmann, L. E. Schäfer, K. Dächert, K. Klamroth and S. Ruzika, "Exact algorithms for multiobjective linear optimization problems with integer variables - a state of the art survey", Journal of Multicriteria Decision Analysis, vol. 29, pp. 343–363, 2022.

DOI: 10.1002/mcda.1780

D. Könen, D. Schmidt and C. Spisla, "Finding all minimum cost flows and a faster algorithm for the K best flow problem", Discrete Applied Mathematics, vol. 321, pp. 333-349, 2022.

DOI: 10.1016/j.dam.2022.07.007

O. T. Doganay, K. Klamroth, B. Lang, M. Stiglmayr and C. Totzeck, "Modeling Minimum Cost Network Flows With Port-Hamiltonian Systems", PAMM, 2022. Wiley.

DOI: 10.48550/arXiv.2303.13196

A. Tordeux and C. Totzeck, "Multi-scale description of pedestrian collective dynamics with port-Hamiltonian systems", 2022.

DOI: 10.48550/arXiv.2211.06503

J. Sudhoff, "Ordinal costs in multi-objective combinatorial optimization", Dissertation, Bergische Universität Wuppertal, 2022.

DOI: 10.25926/BUW/0-50

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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.

DOI: 10.1137/20M1341106

A. Acu, M. Dancs, M. Heilmann, I. Raşa and V. Paşca, "Voronovskaya type results for special sequences of operators", RACSAM, vol. 116,19, 2022.

DOI: 10.1007/s13398-021-01157-6

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.

DOI: 10.1016/j.dam.2020.05.013

O. T. Doganay, "Biobjective shape optimization algorithms enhanced by derivative information", Dissertation, Bergische Universität Wuppertal, 2021.

DOI: 10.25926/pfta-7236

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D. Gaul and D. R. Schmidt, "Chvátal-Gomory cuts for the Steiner tree problem", Discrete Applied Mathematics, vol. 291, pp. 188-200, 2021.

DOI: 10.1016/j.dam.2020.12.016

A. Acu, M. Heilmann and I. Raşa, "Eigenstructure and iterates for uniquely ergodic Kantorovich modifications of operators II", Positivity, vol. 25, pp. 1585-1599, 2021.

DOI: 10.1007/s11117-021-00832-7