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163 Publications
2023 | Journal Article | LibreCat-ID: 29236 | 
McLachlan, R., & Offen, C. (2023). Backward error analysis for conjugate symplectic methods. Journal of Geometric Mechanics, 15(1), 98–115. https://doi.org/10.3934/jgm.2023005
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| DOI
| arXiv
2023 | Journal Article | LibreCat-ID: 47065
Soyka, C., Ullrich, M., Striewe, M., & Schaper, N. (2023). Comparison of Required Competences and Task Material in Modeling Education. Enterprise Modelling and Information Systems Architectures, 18, Article 7. https://doi.org/10.18417/EMISA.18.7
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| DOI
2023 | Journal Article | LibreCat-ID: 47155 |
Schönhärl, K., Schotters, F., & Thiemeyer, G. (2023). Editorial. Werkstatt Geschichte, 88.
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2023 | Special Issue | LibreCat-ID: 47154
Reden über Geld. (2023). In K. Schönhärl, F. Schotters, & G. Thiemeyer (Eds.), Werkstatt Geschichte (Vol. 88).
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2023 | Conference Paper | LibreCat-ID: 47522
Prager, R. P., Dietrich, K., Schneider, L., Schäpermeier, L., Bischl, B., Kerschke, P., Trautmann, H., & Mersmann, O. (2023). Neural Networks as Black-Box Benchmark Functions Optimized for Exploratory Landscape Features. Proceedings of the 17th ACM/SIGEVO Conference on Foundations of Genetic Algorithms, 129–139. https://doi.org/10.1145/3594805.3607136
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| DOI
2023 | Conference Paper | LibreCat-ID: 44326
Götte, R.-S., & Timmermann, J. (2023). Approximating a Laplacian Prior for Joint State and Model Estimation within an UKF. IFAC-PapersOnLine, 56(2), 869–874.
LibreCat
2023 | Conference Paper | LibreCat-ID: 48872
Bossek, J., & Sudholt, D. (2023). Runtime Analysis of Quality Diversity Algorithms. Proceedings of the Genetic and Evolutionary Computation Conference, 1546–1554. https://doi.org/10.1145/3583131.3590383
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| DOI
2023 | Conference Paper | LibreCat-ID: 48886
Marrero, A., Segredo, E., Hart, E., Bossek, J., & Neumann, A. (2023). Generating Diverse and Discriminatory Knapsack Instances by Searching for Novelty in Variable Dimensions of Feature-Space. Proceedings of the Genetic} and Evolutionary Computation Conference, 312–320. https://doi.org/10.1145/3583131.3590504
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| DOI
2023 | Journal Article | LibreCat-ID: 48871
Bossek, J., & Sudholt, D. (2023). Do Additional Target Points Speed Up Evolutionary Algorithms? Theoretical Computer Science, 113757. https://doi.org/10.1016/j.tcs.2023.113757
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| DOI
2023 | Conference Paper | LibreCat-ID: 37058
Brennig, K., & Müller, O. (2023). More Isn’t Always Better – Measuring Customers’ Preferences for Digital Process Transparency. Hawaii International Conference on System Sciences. 56th Hawaii International Conference on System Sciences, Lāhainā.
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