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1572 Publications
2024 | Conference Paper | LibreCat-ID: 55191
Rezat, S., Visnovska, J., Yan, G., Leshota, M., & Sabra, H. (2024). Topic Study Group 41: Research and development on textbooks and resources for learning and teaching mathematics. Proceedings of the 14th International Congress on Mathematical Education, 1, 537–545. https://doi.org/10.1142/9789811287152_0065
LibreCat
| DOI
2024 | Journal Article | LibreCat-ID: 55276
Minelli, P., Sourmelidis, A., & Technau, M. (2024). On restricted averages of Dedekind sums. Int. Math. Res. Not. IMRN, 2024(10), 8485–8502. https://doi.org/10.1093/imrn/rnad283
LibreCat
| DOI
2024 | Journal Article | LibreCat-ID: 55278
Technau, M. (2024). Remark on the Farey fraction spin chain. Proc. Amer. Math. Soc., 152(1), 63–69. https://doi.org/10.1090/proc/16520
LibreCat
| DOI
2024 | Journal Article | LibreCat-ID: 55459
Bullerjahn, N., & Kovács, B. (2024). Error estimates for full discretization of Cahn--Hilliard equation with dynamic boundary conditions. ArXiv. https://doi.org/10.48550/ARXIV.2407.20698
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2024 | Book | LibreCat-ID: 55193
Hoffmann, M., Hilgert, J., & Weich, T. (2024). Ebene euklidische Geometrie. Algebraisierung, Axiomatisierung und Schnittstellen zur Schulmathematik. Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-662-67357-7
LibreCat
| DOI
2024 | Journal Article | LibreCat-ID: 46469 | 
Offen, C., & Ober-Blöbaum, S. (2024). Learning of discrete models of variational PDEs from data. Chaos, 34(1), Article 013104. https://doi.org/10.1063/5.0172287
LibreCat
| Files available
| DOI
| arXiv
2024 | Preprint | LibreCat-ID: 55159 |
Offen, C. (n.d.). Machine learning of discrete field theories with guaranteed convergence and uncertainty quantification.
LibreCat
| Files available
| arXiv
2024 | Preprint | LibreCat-ID: 53805 |
Offen, C. (n.d.). Machine learning of continuous and discrete variational ODEs with convergence guarantee and uncertainty quantification.
LibreCat
| Files available
| arXiv
2024 | Journal Article | LibreCat-ID: 55667 |
Fleischer, F. Y., Podworny, S., & Biehler, R. (2024). Teaching and Learning to Construct Data-Based Decision Trees Using Data Cards as the First Introduction to Machine Learning in Middle School. Statistics Education Research Journal, 23(1), Article 3. https://doi.org/10.52041/serj.v23i1.450
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2024 | Book Chapter | LibreCat-ID: 55756 |
Biehler, R., & Frischemeier, D. (2024). Eine inklusive Lehr-Lernumgebung für die Leitidee „Daten und Zufall“ in der Primarstufe. In Inklusives Lehren und Lernen von Mathematik. Springer Fachmedien Wiesbaden. https://doi.org/10.1007/978-3-658-43964-4_13
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2024 | Book | LibreCat-ID: 55758
Biehler, R., & Frischemeier, D. (2024). Daten-Spürnasen auf Spurensuche: Datenanalyse in der Grundschule mit digitalen Werkzeugen. Klett Kallmeyer.
LibreCat
2024 | Journal Article | LibreCat-ID: 45972
Kovács, B. (2024). Numerical surgery for mean curvature flow of surfaces. SIAM Journal on Scientific Computing, 46(2), A645--A669. https://doi.org/10.1137/22M1531919
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| DOI
2024 | Journal Article | LibreCat-ID: 50299
Weiß, C. (n.d.). Nontrivial $t$-designs in polar spaces exist for all $t$. Des. Codes Cryptogr. https://doi.org/10.1007/s10623-024-01471-1
LibreCat
| DOI
2024 | Journal Article | LibreCat-ID: 53300
Brennecken, D. (2024). Hankel transform, K-Bessel functions and zeta distributions in the Dunkl setting. Journal of Mathematical Analysis and Applications, 535(2), Article 128125. https://doi.org/10.1016/j.jmaa.2024.128125
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| DOI
2024 | Journal Article | LibreCat-ID: 56016 |
Hoffmann, M., & Biehler, R. (2024). Using academic mathematical knowledge when working on interface tasks–analyses of pre-service teachers’ arguments about rotationally symmetric figures. ZDM – Mathematics Education. https://doi.org/10.1007/s11858-024-01633-4
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2024 | Book Chapter | LibreCat-ID: 56001
Brennecken, D., & Rösler, M. (2024). The Laplace transform in Dunkl theory. In M. Chatzakou, M. Ruzhansky, & D. Stoeva (Eds.), Women in Analysis and PDE (Vol. 5, p. 425). Birkhäuser Cham.
LibreCat
2024 | Book Chapter | LibreCat-ID: 56021
Häsel-Weide, U., & Nührenbörger, M. (2024). Produktives Fördern im inklusiven Mathematikunterricht. In B. Barzel, A. Büchter, C. Rütten, F. Schacht, & S. Weskamp-Kleine (Eds.), Inklusives Lehren und Lernen von Mathematik: Konzepte und Beispiele mit Fokus auf Grund- und Förderschule (pp. 97–113). Springer Fachmedien Wiesbaden. https://doi.org/10.1007/978-3-658-43964-4_7
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| DOI
2024 | Journal Article | LibreCat-ID: 56022
Häsel-Weide, U., & Wallner, M. (2024). Achsensymmetrisch?! Praktiken, soziale und sozio-mathematische Normen der Begründung der Achsensymmetrie ebener Figuren in der Grundschule. Journal Für Mathematik-Didaktik, 45(2), Article 18. https://doi.org/10.1007/s13138-024-00241-9
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