Department Mathematics and Information Technology
Organisational unit: Departments and Institutes
111 - 120 out of 774Page size: 10
Research output
- 2020
- Published
Asymmetrizing trees of maximum valence 2ℵ0
Imrich, W. & Tucker, T. W., 28 Apr 2020, In: Monatshefte für Mathematik. 192.2020, July, p. 615-624 10 p.Research output: Contribution to journal › Article › Research › peer-review
- Published
Recognizing generalized Sierpiński graphs
Imrich, W. & Peterin, I., 1 Apr 2020, In: Applicable analysis and discrete mathematics. 14.2020, 1, p. 122-137 16 p.Research output: Contribution to journal › Article › Research › peer-review
- Published
Space-Filling Curves of Self-Similar Sets (III): Skeletons
Rao, H. & Zhang, S., 12 Mar 2020, In: Fractals. 28.2020, 2, 2050028.Research output: Contribution to journal › Article › Research › peer-review
- Published
Regret Bounds for Reinforcement Learning via Markov Chain Concentration
Ortner, R., 23 Jan 2020, In: The journal of artificial intelligence research. 67.2020, 1, p. 115-128 14 p.Research output: Contribution to journal › Article › Research › peer-review
- Published
On self-affine tiles whose boundary is a sphere
Thuswaldner, J. & Zhang, S., Jan 2020, In: Transactions of the American Mathematical Society. 373.2020, 1, p. 491-527 37 p.Research output: Contribution to journal › Article › Research › peer-review
- Published
Clusteranalyse für die Bildung von Produktgruppen zur Unterstützung der Lagerdimensionierung
Kohlhofer, J. B., 2020Research output: Thesis › Master's Thesis
- Published
Edge-Reconstruction of Cartesian Product Graphs
Wardynski, M. J., 2020Research output: Thesis › Doctoral Thesis
- Published
Genetische Algorithmen zur Lösung eines Human Ressource Allocation Problems
Zechmann, O., 2020Research output: Thesis › Master's Thesis
- Published
Linear relations with conjugates of a Salem number
Dubickas, A. & Jankauskas, J., 2020, In: Journal de théorie des nombres de Bordeaux. 32.2020, 1, p. 179–191 13 p.Research output: Contribution to journal › Article › Research › peer-review
- Published
Maschinelles Lernen in der Nachschubsteuerung - Verbesserung der Nachschubsteuerung durch den Einsatz von maschinellem Lernen in der Bedarfsprognose
Labner, J., 2020Research output: Thesis › Master's Thesis
