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1759 Publications


2019 | Book Chapter | LibreCat-ID: 56257
T. Mai and R. Biehler, “On the Introduction of Vectors in German Textbooks for Upper Secondary School,” in Proceedings of the Third International Conference on Mathametics Textbook research and Development, vol. 16, S. Rezat, F. Lianghuo, M. Hattermann, J. Schumacher, and H. Wuschke, Eds. Paderborn: Universitätsbibliothek Paderborn, 2019, pp. 233–238.
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2019 | Journal Article | LibreCat-ID: 56255
L. Kempen and R. Biehler, “Fostering first-year pre-service teachers’ proof competencies,” ZDM, vol. 51, no. 5, pp. 731–746, 2019, doi: 10.1007/s11858-019-01035-x.
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2019 | Book Chapter | LibreCat-ID: 56256
E. Lankeit and R. Biehler, “Vorstellung einer Aufgabe zu den Zusammenhängen verschiedener Differenzierbarkeitsbegriffe im Mehrdimensionalen,” in Hanse-Kolloquium zur Hochschuldidaktik der Mathematik 2018, M. Klinger, A. Schüler-Meyer, and L. Wessel, Eds. Münster: WTM-Verlag, 2019, pp. 117–131.
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2019 | Book Chapter | LibreCat-ID: 56789
R. Nieszporek, R. Biehler, and B. Griese, “Developments of teachers’ knowledge facets in teaching statistics with digital tools measured with retrospective self-assessment,” in Looking back, looking forward. Proceedings of the Tenth International Conference on Teaching Sta-tistics (ICOTS10, July, 2018), Kyoto, Japan, M. A. Sorto, A. White, and L. Guyot, Eds. Voorburg, The Netherlands: International Statistical Institute, 2019.
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2019 | Conference Paper | LibreCat-ID: 56246
R. Biehler, “The transition from calculus and to analysis—Conceptual analyses and supporting steps for students,” in Calculus in upper secondary and beginning university mathematics—Conference proceedings, 2019, pp. 4–17.
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2019 | Conference Paper | LibreCat-ID: 14848
M. Schlichtig et al., “Maschinelles Lernen im Unterricht mit Jupyter Notebook,” in Informatik für alle, Dortmund, Germany, 2019, p. 385.
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2019 | Conference Paper | LibreCat-ID: 14847
S. Opel et al., “Entwicklung und Reflexion einer Unterrichtssequenz zum Maschinellen Lernen als Aspekt von Data Science in der Sekundarstufe II,” in Informatik für alle, Dortmund, Germany, 2019, pp. 285–294.
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2019 | Preprint | LibreCat-ID: 64769
N. Nikitin, “Measurable regularity of infinite-dimensional Lie groups based on Lusin measurability.” 2019.
LibreCat | arXiv
 

2019 | Journal Article | LibreCat-ID: 64756
B. Walter, “Weighted diffeomorphism groups of Riemannian manifolds,” Indagationes Mathematicae, vol. 30, no. 4, pp. 669–705, 2019, doi: 10.1016/j.indag.2019.03.003.
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2019 | Journal Article | LibreCat-ID: 64630
H. Glöckner, “Completeness of infinite-dimensional Lie groups in their left uniformity,” Canadian Journal of Mathematics, vol. 71, no. 1, pp. 131–152, 2019, doi: 10.4153/CJM-2017-048-5.
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2019 | Book Chapter | LibreCat-ID: 62712
S. Opel et al., “Entwicklung und Reflexion einer Unterrichtssequenz zum Maschinellen Lernen als Aspekt von Data Science in der Sekundarstufe II,” in Informatik für alle - 18. GI-Fachtagung Informatik und Schule, 16.-18. September 2019, Dortmund, A. Pasternak, Ed. Gesellschaft für Informatik, 2019, pp. 285–294.
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2019 | Misc | LibreCat-ID: 8482
B. Jurgelucks, V. Schulze, N. Feldmann, and L. Claes, Arbitrary sensitivity for inverse problems in piezoelectricity. GAMM Annual Meeting, Wien, 2019.
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2018 | Journal Article | LibreCat-ID: 19935
R. I. McLachlan and C. Offen, “Bifurcation of solutions to Hamiltonian boundary value problems,” Nonlinearity, pp. 2895–2927, 2018.
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2018 | Journal Article | LibreCat-ID: 19937
R. I. McLachlan and C. Offen, “Symplectic integration of boundary value problems,” Numerical Algorithms, pp. 1219–1233, 2018.
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2018 | Preprint | LibreCat-ID: 21634 | OA
S. Hanke, S. Peitz, O. Wallscheid, S. Klus, J. Böcker, and M. Dellnitz, “Koopman Operator-Based Finite-Control-Set Model Predictive Control for  Electrical Drives,” arXiv:1804.00854. 2018.
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2018 | Journal Article | LibreCat-ID: 21940
F. Litzinger et al., “Rapid Calculation of Molecular Kinetics Using Compressed Sensing,” Journal of Chemical Theory and Computation, pp. 2771–2783, 2018.
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2018 | Journal Article | LibreCat-ID: 21941
S. Klus et al., “Data-Driven Model Reduction and Transfer Operator Approximation,” Journal of Nonlinear Science, pp. 985–1010, 2018.
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2018 | Journal Article | LibreCat-ID: 21942
L. Boninsegna, F. Nüske, and C. Clementi, “Sparse learning of stochastic dynamical equations,” The Journal of Chemical Physics, 2018.
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2018 | Journal Article | LibreCat-ID: 21943
E. Hruska, J. R. Abella, F. Nüske, L. E. Kavraki, and C. Clementi, “Quantitative comparison of adaptive sampling methods for protein dynamics,” The Journal of Chemical Physics, 2018.
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2018 | Conference Paper | LibreCat-ID: 7766 | OA
J. Schumacher, “Semiotische Analyse von Sinnkonstruktionsprozessen bei einem innermathematischen Zugang zum Erlernen negativer Zahlen,” in Beiträge zum Mathematikunterricht 2018, 2018.
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