cI only know the absolute value functiond3About student concept images and example spaces concerning continuity and differentiability
E. Lankeit, R. Biehler, in: T. Hausberger, M. Bosch, F. Chelloughi (Eds.), Proceedings of the Third Conference of the International Network for Didactic Research in University Mathematics (INDRUM 2020, 12-19 September 2020), University of Carthage and INDRUM, Bizerte, Tunisia, 2020.

Investigating high school graduates’ personal meaning of the notion of cmathematical proofd
L. Kempen, S. Krämer, R. Biehler, in: T. Hausberger, M. Bosch, F. Chelloughi (Eds.), Proceedings of the Third Conference of the International Network for Didactic Research in University Mathematics (INDRUM 2020, 12-19 September 2020), University of Carthage and INDRUM, Bizerte, Tunisia, 2020, pp. 358–367.

Votingfragen in den Übungen zur Analysis – Wirkung verschiedener Einsatzszenarien
E. Lankeit, T. Bauer, R. Biehler, in: H.-S. Siller, W. Weigel, J.F. Wörler (Eds.), Beiträge zum Mathematikunterricht 2020, WTM-Verlag, Münster, 2020, pp. 1361–1364.

Mathematics learning support centres in Germany—an overview
M. Schürmann, L. Gildehaus, M. Liebendörfer, N. Schaper, R. Biehler, R. Hochmuth, C. Kuklinski, E. Lankeit, Teaching Mathematics and Its Applications: An International Journal of the IMA 40 (2020) 99–113.

The role of learning strategies for performance in mathematics courses for engineers
M. Liebendörfer, R. Göller, L. Gildehaus, J. Kortemeyer, R. Biehler, R. Hochmuth, L. Ostsieker, J. Rode, N. Schaper, in: T. Hausberger, M. Bosch, F. Chelloughi (Eds.), Proceedings of the Third Conference of the International Network for Didactic Research in University Mathematics (INDRUM 2020, 12-19 September 2020), University of Carthage and INDRUM, Bizerte, Tunisia, 2020.

studiVEMINTvideos – Mathematische Lernvideos zur Studienvorbereitung und Unterstützung im ersten Studienjahr
R. Biehler, M. Liebendörfer, A. Schmitz, Y. Fleischmann, S. Krämer, L. Ostsieker, S. Schlüter, in: H.-S. Siller, W. Weigel, J.F. Wörler (Eds.), Beiträge zum Mathematikunterricht 2020, WTM, Münster, 2020.

Data science education in secondary schools: Teaching and learning decision trees with CODAP and Jupyter Notebooks as an example of integrating machine learning into statistics education
R. Biehler, Y. Fleischer, L. Budde, D. Frischemeier, D. Gerstenberger, S. Podworny, C. Schulte, in: P. Arnold (Ed.), New Skills in the Changing World of Statistics Education Proceedings of the Roundtable Conference of the International Association for Statistical Education (IASE), ISI/IASE, Voorborg, The Netherlands, 2020.

Data Science Education in Secondary School: How to Develop Statistical Reasoning When Exploring Data Using CODAP
L. Budde, D. Frischemeier, R. Biehler, Y. Fleischer, D. Gerstenberger, S. Podworny, C. Schulte, in: P. Arnold (Ed.), New Skills in the Changing World of Statistics Education: Proceedings of the Roundtable Conference of the International Association for Statistical Education (IASE), July 2020, ISI/IASE, Voorborg, The Netherlands, 2020.

LimSt – Ein Fragebogen zur Erhebung von Lernstrategien im mathematikhaltigen Studium
M. Liebendörfer, R. Göller, R. Biehler, R. Hochmuth, J. Kortemeyer, L. Ostsieker, J. Rode, N. Schaper, Journal für Mathematik-Didaktik (2020).

Chancen und Möglichkeiten eines Netzwerks von Mathematischen Lernzentren in Deutschland - Bericht zum digitalen Lernzentrumsworkshop am 22.10.2020
M. Schürmann, M. Liebendörfer, L. Gildehaus, N. Schaper, R. Hochmuth, R. Biehler, E. Lankeit, C. Kuklinski, J. Ruge, Dghd-Newsletter 4/2020 (2020) 24–26.

Ein Kurzbericht aus dem Forschungsprojekt WiGeMath-Lernzentren als Unterstützungsmaßnahme für mathematikbezogenes Lernen in der Studieneingangsphase
M. Schürmann, N. Schaper, M. Liebendörfer, R. Biehler, E. Lankeit, R. Hochmuth, J. Ruge, C. Kuklinski, Dghd-Newsletter 01/2020 (2020) 25–29.

Symplectic integration of PDEs using Clebsch variables
R.I. McLachlan, C. Offen, B.K. Tapley, Journal of Computational Dynamics 6 (2019) 111–130.

Coarse-graining molecular systems by spectral matching
F. Nüske, L. Boninsegna, C. Clementi, The Journal of Chemical Physics (2019).

Erklärung von Mathematikleistung im Ingenieursstudium
C. Kuklinski, E. Leis, M. Liebendörfer, R. Hochmuth, in: Beiträge Zum Mathematikunterricht 2019, 2019.

Continuous relaxations for the traveling salesman problem
T. Sahai, A. Ziessler, S. Klus, M. Dellnitz, Nonlinear Dynamics (2019).

Koopman operator-based model reduction for switched-system control of PDEs
S. Peitz, S. Klus, Automatica 106 (2019) 184–191.

On the hierarchical structure of Pareto critical sets
B. Gebken, S. Peitz, M. Dellnitz, Journal of Global Optimization 73 (2019) 891–913.

Finite-Control-Set Model Predictive Control for a Permanent Magnet Synchronous Motor Application with Online Least Squares System Identification
S. Hanke, S. Peitz, O. Wallscheid, J. Böcker, M. Dellnitz, in: 2019 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics (PRECEDE), 2019.

Rekonstruktion diagrammatischen Schließens am Beispiel der Subtraktion negativer Zahlen
J. Schumacher, in: Beiträge zum Mathematikunterricht 2019, n.d.

A Hypothetical Learning Trajectory for the Learning of the Rules for Manipulating Integers
J. Schumacher, S. Rezat, in: U.T. Jankvist, M. Van den Heuvel-Panhuizen, M. Veldhuis (Eds.), Proceedings of the Eleventh Congress of the European Society for Research in Mathematics Education (CERM, February 6 – 10, 2019), Freudenthal Group &; Freudenthal Institute, Utrecht University and ERME, Utrecht, the Netherlands, n.d.