[{"date_updated":"2023-11-02T08:12:07Z","status":"public","year":"2018","title":"Strategien für Textaufgaben fördern – mit Info-Netzen und Formulierungsvariationen","author":[{"id":"85820","full_name":"Dröse, Jennifer","first_name":"Jennifer","last_name":"Dröse"},{"full_name":"Prediger, Susanne","first_name":"Susanne","last_name":"Prediger"}],"user_id":"85820","page":"8-12","_id":"45393","language":[{"iso":"ger"}],"extern":"1","publication":"Mathematik lehren 206","citation":{"apa":"Dröse, J., &#38; Prediger, S. (2018). Strategien für Textaufgaben fördern – mit Info-Netzen und Formulierungsvariationen. <i>Mathematik lehren 206</i>, 8–12.","ieee":"J. Dröse and S. Prediger, “Strategien für Textaufgaben fördern – mit Info-Netzen und Formulierungsvariationen,” <i>Mathematik lehren 206</i>, pp. 8–12, 2018.","chicago":"Dröse, Jennifer, and Susanne Prediger. “Strategien für Textaufgaben fördern – mit Info-Netzen und Formulierungsvariationen.” <i>Mathematik lehren 206</i>, 2018, 8–12.","short":"J. Dröse, S. Prediger, Mathematik lehren 206 (2018) 8–12.","mla":"Dröse, Jennifer, and Susanne Prediger. “Strategien für Textaufgaben fördern – mit Info-Netzen und Formulierungsvariationen.” <i>Mathematik lehren 206</i>, 2018, pp. 8–12.","ama":"Dröse J, Prediger S. Strategien für Textaufgaben fördern – mit Info-Netzen und Formulierungsvariationen. <i>Mathematik lehren 206</i>. Published online 2018:8-12.","bibtex":"@article{Dröse_Prediger_2018, title={Strategien für Textaufgaben fördern – mit Info-Netzen und Formulierungsvariationen}, journal={Mathematik lehren 206}, author={Dröse, Jennifer and Prediger, Susanne}, year={2018}, pages={8–12} }"},"type":"journal_article","department":[{"_id":"98"}],"date_created":"2023-05-31T08:19:02Z"},{"date_created":"2023-11-14T15:58:51Z","keyword":["combinatorial optimization","metaheuristics","multi-objective optimization","orienteering","transportation"],"type":"conference","department":[{"_id":"819"}],"publication":"Proceedings of the Genetic and Evolutionary Computation Conference","extern":"1","abstract":[{"text":"We analyze the effects of including local search techniques into a multi-objective evolutionary algorithm for solving a bi-objective orienteering problem with a single vehicle while the two conflicting objectives are minimization of travel time and maximization of the number of visited customer locations. Experiments are based on a large set of specifically designed problem instances with different characteristics and it is shown that local search techniques focusing on one of the objectives only improve the performance of the evolutionary algorithm in terms of both objectives. The analysis also shows that local search techniques are capable of sending locally optimal solutions to foremost fronts of the multi-objective optimization process, and that these solutions then become the leading factors of the evolutionary process.","lang":"eng"}],"series_title":"GECCO ’18","language":[{"iso":"eng"}],"doi":"10.1145/3205455.3205548","year":"2018","title":"Local Search Effects in Bi-Objective Orienteering","publication_identifier":{"isbn":["978-1-4503-5618-3"]},"author":[{"id":"102979","full_name":"Bossek, Jakob","last_name":"Bossek","first_name":"Jakob","orcid":"0000-0002-4121-4668"},{"full_name":"Grimme, Christian","first_name":"Christian","last_name":"Grimme"},{"last_name":"Meisel","first_name":"Stephan","full_name":"Meisel, Stephan"},{"full_name":"Rudolph, Günter","last_name":"Rudolph","first_name":"Günter"},{"last_name":"Trautmann","first_name":"Heike","full_name":"Trautmann, Heike"}],"publication_status":"published","date_updated":"2023-12-13T10:42:14Z","place":"New York, NY, USA","citation":{"short":"J. Bossek, C. Grimme, S. Meisel, G. Rudolph, H. Trautmann, in: Proceedings of the Genetic and Evolutionary Computation Conference, Association for Computing Machinery, New York, NY, USA, 2018, pp. 585–592.","chicago":"Bossek, Jakob, Christian Grimme, Stephan Meisel, Günter Rudolph, and Heike Trautmann. “Local Search Effects in Bi-Objective Orienteering.” In <i>Proceedings of the Genetic and Evolutionary Computation Conference</i>, 585–592. GECCO ’18. New York, NY, USA: Association for Computing Machinery, 2018. <a href=\"https://doi.org/10.1145/3205455.3205548\">https://doi.org/10.1145/3205455.3205548</a>.","ieee":"J. Bossek, C. Grimme, S. Meisel, G. Rudolph, and H. Trautmann, “Local Search Effects in Bi-Objective Orienteering,” in <i>Proceedings of the Genetic and Evolutionary Computation Conference</i>, 2018, pp. 585–592, doi: <a href=\"https://doi.org/10.1145/3205455.3205548\">10.1145/3205455.3205548</a>.","apa":"Bossek, J., Grimme, C., Meisel, S., Rudolph, G., &#38; Trautmann, H. (2018). Local Search Effects in Bi-Objective Orienteering. <i>Proceedings of the Genetic and Evolutionary Computation Conference</i>, 585–592. <a href=\"https://doi.org/10.1145/3205455.3205548\">https://doi.org/10.1145/3205455.3205548</a>","bibtex":"@inproceedings{Bossek_Grimme_Meisel_Rudolph_Trautmann_2018, place={New York, NY, USA}, series={GECCO ’18}, title={Local Search Effects in Bi-Objective Orienteering}, DOI={<a href=\"https://doi.org/10.1145/3205455.3205548\">10.1145/3205455.3205548</a>}, booktitle={Proceedings of the Genetic and Evolutionary Computation Conference}, publisher={Association for Computing Machinery}, author={Bossek, Jakob and Grimme, Christian and Meisel, Stephan and Rudolph, Günter and Trautmann, Heike}, year={2018}, pages={585–592}, collection={GECCO ’18} }","ama":"Bossek J, Grimme C, Meisel S, Rudolph G, Trautmann H. Local Search Effects in Bi-Objective Orienteering. In: <i>Proceedings of the Genetic and Evolutionary Computation Conference</i>. GECCO ’18. Association for Computing Machinery; 2018:585–592. doi:<a href=\"https://doi.org/10.1145/3205455.3205548\">10.1145/3205455.3205548</a>","mla":"Bossek, Jakob, et al. “Local Search Effects in Bi-Objective Orienteering.” <i>Proceedings of the Genetic and Evolutionary Computation Conference</i>, Association for Computing Machinery, 2018, pp. 585–592, doi:<a href=\"https://doi.org/10.1145/3205455.3205548\">10.1145/3205455.3205548</a>."},"page":"585–592","_id":"48839","publisher":"Association for Computing Machinery","user_id":"102979","status":"public"},{"title":"Performance Assessment of Multi-Objective Evolutionary Algorithms with the R Package ecr","year":"2018","author":[{"id":"102979","last_name":"Bossek","orcid":"0000-0002-4121-4668","first_name":"Jakob","full_name":"Bossek, Jakob"}],"publication_identifier":{"isbn":["978-1-4503-5764-7"]},"date_updated":"2023-12-13T10:46:04Z","publication_status":"published","series_title":"GECCO ’18","language":[{"iso":"eng"}],"doi":"10.1145/3205651.3208312","publication":"Proceedings of the Genetic and Evolutionary Computation Conference Companion","abstract":[{"lang":"eng","text":"Assessing the performance of stochastic optimization algorithms in the field of multi-objective optimization is of utmost importance. Besides the visual comparison of the obtained approximation sets, more sophisticated methods have been proposed in the last decade, e. g., a variety of quantitative performance indicators or statistical tests. In this paper, we present tools implemented in the R package ecr, which assist in performing comprehensive and sound comparison and evaluation of multi-objective evolutionary algorithms following recommendations from the literature."}],"extern":"1","date_created":"2023-11-14T15:58:56Z","type":"conference","keyword":["evolutionary optimization","performance assessment","software-tools"],"department":[{"_id":"819"}],"status":"public","page":"1350–1356","publisher":"Association for Computing Machinery","_id":"48867","user_id":"102979","citation":{"bibtex":"@inproceedings{Bossek_2018, place={New York, NY, USA}, series={GECCO ’18}, title={Performance Assessment of Multi-Objective Evolutionary Algorithms with the R Package ecr}, DOI={<a href=\"https://doi.org/10.1145/3205651.3208312\">10.1145/3205651.3208312</a>}, booktitle={Proceedings of the Genetic and Evolutionary Computation Conference Companion}, publisher={Association for Computing Machinery}, author={Bossek, Jakob}, year={2018}, pages={1350–1356}, collection={GECCO ’18} }","ama":"Bossek J. Performance Assessment of Multi-Objective Evolutionary Algorithms with the R Package ecr. In: <i>Proceedings of the Genetic and Evolutionary Computation Conference Companion</i>. GECCO ’18. Association for Computing Machinery; 2018:1350–1356. doi:<a href=\"https://doi.org/10.1145/3205651.3208312\">10.1145/3205651.3208312</a>","mla":"Bossek, Jakob. “Performance Assessment of Multi-Objective Evolutionary Algorithms with the R Package Ecr.” <i>Proceedings of the Genetic and Evolutionary Computation Conference Companion</i>, Association for Computing Machinery, 2018, pp. 1350–1356, doi:<a href=\"https://doi.org/10.1145/3205651.3208312\">10.1145/3205651.3208312</a>.","short":"J. Bossek, in: Proceedings of the Genetic and Evolutionary Computation Conference Companion, Association for Computing Machinery, New York, NY, USA, 2018, pp. 1350–1356.","chicago":"Bossek, Jakob. “Performance Assessment of Multi-Objective Evolutionary Algorithms with the R Package Ecr.” In <i>Proceedings of the Genetic and Evolutionary Computation Conference Companion</i>, 1350–1356. GECCO ’18. New York, NY, USA: Association for Computing Machinery, 2018. <a href=\"https://doi.org/10.1145/3205651.3208312\">https://doi.org/10.1145/3205651.3208312</a>.","ieee":"J. Bossek, “Performance Assessment of Multi-Objective Evolutionary Algorithms with the R Package ecr,” in <i>Proceedings of the Genetic and Evolutionary Computation Conference Companion</i>, 2018, pp. 1350–1356, doi: <a href=\"https://doi.org/10.1145/3205651.3208312\">10.1145/3205651.3208312</a>.","apa":"Bossek, J. (2018). Performance Assessment of Multi-Objective Evolutionary Algorithms with the R Package ecr. <i>Proceedings of the Genetic and Evolutionary Computation Conference Companion</i>, 1350–1356. <a href=\"https://doi.org/10.1145/3205651.3208312\">https://doi.org/10.1145/3205651.3208312</a>"},"place":"New York, NY, USA"},{"citation":{"chicago":"Kerschke, Pascal, Jakob Bossek, and Heike Trautmann. “Parameterization of State-of-the-Art Performance Indicators: A Robustness Study Based on Inexact TSP Solvers.” In <i>Proceedings of the Genetic and Evolutionary Computation Conference Companion</i>, 1737–1744. GECCO’18. New York, NY, USA: Association for Computing Machinery, 2018. <a href=\"https://doi.org/10.1145/3205651.3208233\">https://doi.org/10.1145/3205651.3208233</a>.","short":"P. Kerschke, J. Bossek, H. Trautmann, in: Proceedings of the Genetic and Evolutionary Computation Conference Companion, Association for Computing Machinery, New York, NY, USA, 2018, pp. 1737–1744.","apa":"Kerschke, P., Bossek, J., &#38; Trautmann, H. (2018). Parameterization of State-of-the-Art Performance Indicators: A Robustness Study Based on Inexact TSP Solvers. <i>Proceedings of the Genetic and Evolutionary Computation Conference Companion</i>, 1737–1744. <a href=\"https://doi.org/10.1145/3205651.3208233\">https://doi.org/10.1145/3205651.3208233</a>","ieee":"P. Kerschke, J. Bossek, and H. Trautmann, “Parameterization of State-of-the-Art Performance Indicators: A Robustness Study Based on Inexact TSP Solvers,” in <i>Proceedings of the Genetic and Evolutionary Computation Conference Companion</i>, 2018, pp. 1737–1744, doi: <a href=\"https://doi.org/10.1145/3205651.3208233\">10.1145/3205651.3208233</a>.","ama":"Kerschke P, Bossek J, Trautmann H. Parameterization of State-of-the-Art Performance Indicators: A Robustness Study Based on Inexact TSP Solvers. In: <i>Proceedings of the Genetic and Evolutionary Computation Conference Companion</i>. GECCO’18. Association for Computing Machinery; 2018:1737–1744. doi:<a href=\"https://doi.org/10.1145/3205651.3208233\">10.1145/3205651.3208233</a>","bibtex":"@inproceedings{Kerschke_Bossek_Trautmann_2018, place={New York, NY, USA}, series={GECCO’18}, title={Parameterization of State-of-the-Art Performance Indicators: A Robustness Study Based on Inexact TSP Solvers}, DOI={<a href=\"https://doi.org/10.1145/3205651.3208233\">10.1145/3205651.3208233</a>}, booktitle={Proceedings of the Genetic and Evolutionary Computation Conference Companion}, publisher={Association for Computing Machinery}, author={Kerschke, Pascal and Bossek, Jakob and Trautmann, Heike}, year={2018}, pages={1737–1744}, collection={GECCO’18} }","mla":"Kerschke, Pascal, et al. “Parameterization of State-of-the-Art Performance Indicators: A Robustness Study Based on Inexact TSP Solvers.” <i>Proceedings of the Genetic and Evolutionary Computation Conference Companion</i>, Association for Computing Machinery, 2018, pp. 1737–1744, doi:<a href=\"https://doi.org/10.1145/3205651.3208233\">10.1145/3205651.3208233</a>."},"place":"New York, NY, USA","status":"public","user_id":"102979","page":"1737–1744","publisher":"Association for Computing Machinery","_id":"48885","extern":"1","abstract":[{"text":"Performance comparisons of optimization algorithms are heavily influenced by the underlying indicator(s). In this paper we investigate commonly used performance indicators for single-objective stochastic solvers, such as the Penalized Average Runtime (e.g., PAR10) or the Expected Running Time (ERT), based on exemplary benchmark performances of state-of-the-art inexact TSP solvers. Thereby, we introduce a methodology for analyzing the effects of (usually heuristically set) indicator parametrizations - such as the penalty factor and the method used for aggregating across multiple runs - w.r.t. the robustness of the considered optimization algorithms.","lang":"eng"}],"publication":"Proceedings of the Genetic and Evolutionary Computation Conference Companion","type":"conference","keyword":["algorithm selection","optimization","performance measures","transportation","travelling salesperson problem"],"department":[{"_id":"819"}],"date_created":"2023-11-14T15:58:59Z","date_updated":"2023-12-13T10:48:38Z","year":"2018","title":"Parameterization of State-of-the-Art Performance Indicators: A Robustness Study Based on Inexact TSP Solvers","author":[{"full_name":"Kerschke, Pascal","first_name":"Pascal","last_name":"Kerschke"},{"orcid":"0000-0002-4121-4668","last_name":"Bossek","first_name":"Jakob","full_name":"Bossek, Jakob","id":"102979"},{"last_name":"Trautmann","first_name":"Heike","full_name":"Trautmann, Heike"}],"publication_identifier":{"isbn":["978-1-4503-5764-7"]},"doi":"10.1145/3205651.3208233","language":[{"iso":"eng"}],"series_title":"GECCO’18"},{"date_created":"2023-11-14T15:58:58Z","type":"book","department":[{"_id":"819"}],"citation":{"chicago":"Grimme, Christian, and Jakob Bossek. <i>Einführung in Die Optimierung - Konzepte, Methoden Und Anwendungen</i>. Springer Vieweg, 2018. <a href=\"https://doi.org/10.1007/978-3-658-21151-6\">https://doi.org/10.1007/978-3-658-21151-6</a>.","short":"C. Grimme, J. Bossek, Einführung in Die Optimierung - Konzepte, Methoden Und Anwendungen, Springer Vieweg, 2018.","ama":"Grimme C, Bossek J. <i>Einführung in Die Optimierung - Konzepte, Methoden Und Anwendungen</i>. Springer Vieweg; 2018. doi:<a href=\"https://doi.org/10.1007/978-3-658-21151-6\">10.1007/978-3-658-21151-6</a>","bibtex":"@book{Grimme_Bossek_2018, title={Einführung in die Optimierung - Konzepte, Methoden und Anwendungen}, DOI={<a href=\"https://doi.org/10.1007/978-3-658-21151-6\">10.1007/978-3-658-21151-6</a>}, publisher={Springer Vieweg}, author={Grimme, Christian and Bossek, Jakob}, year={2018} }","mla":"Grimme, Christian, and Jakob Bossek. <i>Einführung in Die Optimierung - Konzepte, Methoden Und Anwendungen</i>. Springer Vieweg, 2018, doi:<a href=\"https://doi.org/10.1007/978-3-658-21151-6\">10.1007/978-3-658-21151-6</a>.","apa":"Grimme, C., &#38; Bossek, J. (2018). <i>Einführung in die Optimierung - Konzepte, Methoden und Anwendungen</i>. Springer Vieweg. <a href=\"https://doi.org/10.1007/978-3-658-21151-6\">https://doi.org/10.1007/978-3-658-21151-6</a>","ieee":"C. Grimme and J. Bossek, <i>Einführung in die Optimierung - Konzepte, Methoden und Anwendungen</i>. Springer Vieweg, 2018."},"extern":"1","_id":"48880","publisher":"Springer Vieweg","language":[{"iso":"eng"}],"user_id":"102979","doi":"10.1007/978-3-658-21151-6","status":"public","title":"Einführung in die Optimierung - Konzepte, Methoden und Anwendungen","year":"2018","publication_identifier":{"isbn":["978-3-658-21150-9"]},"author":[{"last_name":"Grimme","first_name":"Christian","full_name":"Grimme, Christian"},{"id":"102979","last_name":"Bossek","orcid":"0000-0002-4121-4668","first_name":"Jakob","full_name":"Bossek, Jakob"}],"date_updated":"2023-12-13T10:47:57Z"},{"page":"597–620","_id":"48884","user_id":"102979","volume":26,"status":"public","citation":{"ieee":"P. Kerschke, L. Kotthoff, J. Bossek, H. H. Hoos, and H. Trautmann, “Leveraging TSP Solver Complementarity through Machine Learning,” <i>Evolutionary Computation</i>, vol. 26, no. 4, pp. 597–620, 2018, doi: <a href=\"https://doi.org/10.1162/evco_a_00215\">10.1162/evco_a_00215</a>.","apa":"Kerschke, P., Kotthoff, L., Bossek, J., Hoos, H. H., &#38; Trautmann, H. (2018). Leveraging TSP Solver Complementarity through Machine Learning. <i>Evolutionary Computation</i>, <i>26</i>(4), 597–620. <a href=\"https://doi.org/10.1162/evco_a_00215\">https://doi.org/10.1162/evco_a_00215</a>","short":"P. Kerschke, L. Kotthoff, J. Bossek, H.H. Hoos, H. Trautmann, Evolutionary Computation 26 (2018) 597–620.","chicago":"Kerschke, Pascal, Lars Kotthoff, Jakob Bossek, Holger H. Hoos, and Heike Trautmann. “Leveraging TSP Solver Complementarity through Machine Learning.” <i>Evolutionary Computation</i> 26, no. 4 (2018): 597–620. <a href=\"https://doi.org/10.1162/evco_a_00215\">https://doi.org/10.1162/evco_a_00215</a>.","mla":"Kerschke, Pascal, et al. “Leveraging TSP Solver Complementarity through Machine Learning.” <i>Evolutionary Computation</i>, vol. 26, no. 4, 2018, pp. 597–620, doi:<a href=\"https://doi.org/10.1162/evco_a_00215\">10.1162/evco_a_00215</a>.","bibtex":"@article{Kerschke_Kotthoff_Bossek_Hoos_Trautmann_2018, title={Leveraging TSP Solver Complementarity through Machine Learning}, volume={26}, DOI={<a href=\"https://doi.org/10.1162/evco_a_00215\">10.1162/evco_a_00215</a>}, number={4}, journal={Evolutionary Computation}, author={Kerschke, Pascal and Kotthoff, Lars and Bossek, Jakob and Hoos, Holger H. and Trautmann, Heike}, year={2018}, pages={597–620} }","ama":"Kerschke P, Kotthoff L, Bossek J, Hoos HH, Trautmann H. Leveraging TSP Solver Complementarity through Machine Learning. <i>Evolutionary Computation</i>. 2018;26(4):597–620. doi:<a href=\"https://doi.org/10.1162/evco_a_00215\">10.1162/evco_a_00215</a>"},"language":[{"iso":"eng"}],"doi":"10.1162/evco_a_00215","title":"Leveraging TSP Solver Complementarity through Machine Learning","year":"2018","author":[{"last_name":"Kerschke","first_name":"Pascal","full_name":"Kerschke, Pascal"},{"full_name":"Kotthoff, Lars","last_name":"Kotthoff","first_name":"Lars"},{"last_name":"Bossek","orcid":"0000-0002-4121-4668","first_name":"Jakob","full_name":"Bossek, Jakob","id":"102979"},{"full_name":"Hoos, Holger H.","first_name":"Holger H.","last_name":"Hoos"},{"first_name":"Heike","last_name":"Trautmann","full_name":"Trautmann, Heike"}],"publication_identifier":{"issn":["1063-6560"]},"date_updated":"2023-12-13T10:51:26Z","intvolume":"        26","date_created":"2023-11-14T15:58:58Z","keyword":["automated algorithm selection","machine learning.","performance modeling","Travelling Salesperson Problem"],"type":"journal_article","department":[{"_id":"819"}],"issue":"4","publication":"Evolutionary Computation","abstract":[{"lang":"eng","text":"The Travelling Salesperson Problem (TSP) is one of the best-studied NP-hard problems. Over the years, many different solution approaches and solvers have been developed. For the first time, we directly compare five state-of-the-art inexact solvers\\textemdash namely, LKH, EAX, restart variants of those, and MAOS\\textemdash on a large set of well-known benchmark instances and demonstrate complementary performance, in that different instances may be solved most effectively by different algorithms. We leverage this complementarity to build an algorithm selector, which selects the best TSP solver on a per-instance basis and thus achieves significantly improved performance compared to the single best solver, representing an advance in the state of the art in solving the Euclidean TSP. Our in-depth analysis of the selectors provides insight into what drives this performance improvement."}]},{"abstract":[{"text":"Bossek, (2018). grapherator: A Modular Multi-Step Graph Generator. Journal of Open Source Software, 3(22), 528, https://doi.org/10.21105/joss.00528","lang":"eng"}],"issue":"22","publication":"Journal of Open Source Software","citation":{"chicago":"Bossek, Jakob. “Grapherator: A Modular Multi-Step Graph Generator.” <i>Journal of Open Source Software</i> 3, no. 22 (2018): 528. <a href=\"https://doi.org/10.21105/joss.00528\">https://doi.org/10.21105/joss.00528</a>.","short":"J. Bossek, Journal of Open Source Software 3 (2018) 528.","apa":"Bossek, J. (2018). Grapherator: A Modular Multi-Step Graph Generator. <i>Journal of Open Source Software</i>, <i>3</i>(22), 528. <a href=\"https://doi.org/10.21105/joss.00528\">https://doi.org/10.21105/joss.00528</a>","ieee":"J. Bossek, “Grapherator: A Modular Multi-Step Graph Generator,” <i>Journal of Open Source Software</i>, vol. 3, no. 22, p. 528, 2018, doi: <a href=\"https://doi.org/10.21105/joss.00528\">10.21105/joss.00528</a>.","ama":"Bossek J. Grapherator: A Modular Multi-Step Graph Generator. <i>Journal of Open Source Software</i>. 2018;3(22):528. doi:<a href=\"https://doi.org/10.21105/joss.00528\">10.21105/joss.00528</a>","bibtex":"@article{Bossek_2018, title={Grapherator: A Modular Multi-Step Graph Generator}, volume={3}, DOI={<a href=\"https://doi.org/10.21105/joss.00528\">10.21105/joss.00528</a>}, number={22}, journal={Journal of Open Source Software}, author={Bossek, Jakob}, year={2018}, pages={528} }","mla":"Bossek, Jakob. “Grapherator: A Modular Multi-Step Graph Generator.” <i>Journal of Open Source Software</i>, vol. 3, no. 22, 2018, p. 528, doi:<a href=\"https://doi.org/10.21105/joss.00528\">10.21105/joss.00528</a>."},"type":"journal_article","department":[{"_id":"819"}],"date_created":"2023-11-14T15:58:56Z","date_updated":"2023-12-13T10:51:50Z","intvolume":"         3","title":"Grapherator: A Modular Multi-Step Graph Generator","year":"2018","status":"public","author":[{"orcid":"0000-0002-4121-4668","last_name":"Bossek","first_name":"Jakob","full_name":"Bossek, Jakob","id":"102979"}],"publication_identifier":{"issn":["2475-9066"]},"user_id":"102979","doi":"10.21105/joss.00528","volume":3,"page":"528","language":[{"iso":"eng"}],"_id":"48866"},{"date_created":"2022-05-22T14:51:16Z","type":"mastersthesis","department":[{"_id":"97"}],"oa":"1","citation":{"mla":"Hoffmann, Max. <i>Konzeption von fachmathematischen Schnittstellenmodulen für Lehramtsstudierende am Beispiel ausgewählter Themen der höheren Analysis.</i> 2018.","bibtex":"@book{Hoffmann_2018, series={khdm-Report}, title={Konzeption von fachmathematischen Schnittstellenmodulen für Lehramtsstudierende am Beispiel ausgewählter Themen der höheren Analysis.}, volume={18–06}, author={Hoffmann, Max}, year={2018}, collection={khdm-Report} }","ama":"Hoffmann M. <i>Konzeption von fachmathematischen Schnittstellenmodulen für Lehramtsstudierende am Beispiel ausgewählter Themen der höheren Analysis.</i> Vol 18-06.; 2018.","ieee":"M. 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In: <i>World Conference on Photovoltaic Energy Conversion (WCPEC-7), 45th IEEE PVSC, 28th PVSEC, 34th EU PVSEC.</i> ; 2018. doi:<a href=\"https://doi.org/ 10.1109/PVSC.2018.8548115\"> 10.1109/PVSC.2018.8548115</a>","bibtex":"@inproceedings{Weber_Rafsan Jani_Grabo_Wallscheid_Klaus_Krauter_Böcker_2018, place={Waikoloa Village, Big Island, Hawaii (USA)}, title={Lifetime Extension of Photovoltaic Modules by Influencing the Module Temperature Using Phase Change Material}, DOI={<a href=\"https://doi.org/ 10.1109/PVSC.2018.8548115\"> 10.1109/PVSC.2018.8548115</a>}, booktitle={World Conference on Photovoltaic Energy Conversion (WCPEC-7), 45th IEEE PVSC, 28th PVSEC, 34th EU PVSEC.}, author={Weber, Daniel and Rafsan Jani, Mohammad Iffat and Grabo, Matti and Wallscheid, Oliver and Klaus, Tobias and Krauter, Stefan and Böcker, Joachim}, year={2018} }"},"quality_controlled":"1"},{"type":"habilitation","department":[{"_id":"841"}],"oa":"1","date_created":"2023-07-10T12:37:48Z","place":"Tübingen, Germany","extern":"1","citation":{"chicago":"Kovács, Balázs. <i>Numerical Analysis of Partial Differential Equations on and of Evolving Surfaces</i>. 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(2018). <i>Numerical analysis of partial differential equations on and of evolving surfaces</i>.","bibtex":"@book{Kovács_2018, place={Tübingen, Germany}, title={Numerical analysis of partial differential equations on and of evolving surfaces}, author={Kovács, Balázs}, year={2018} }","ama":"Kovács B. <i>Numerical Analysis of Partial Differential Equations on and of Evolving Surfaces</i>.; 2018.","mla":"Kovács, Balázs. <i>Numerical Analysis of Partial Differential Equations on and of Evolving Surfaces</i>. 2018."},"supervisor":[{"full_name":"Lubich, Christian","last_name":"Lubich","first_name":"Christian"}],"user_id":"100441","main_file_link":[{"url":"https://na.uni-tuebingen.de/~kovacs/BKovacs_habilitation.pdf","open_access":"1"}],"_id":"45974","language":[{"iso":"eng"}],"publication_status":"published","date_updated":"2024-04-03T09:14:36Z","title":"Numerical analysis of partial differential equations on and of evolving surfaces","status":"public","year":"2018","author":[{"id":"100441","full_name":"Kovács, Balázs","orcid":"0000-0001-9872-3474","first_name":"Balázs","last_name":"Kovács"}]},{"language":[{"iso":"eng"}],"doi":"10.1093/imanum/dry086","publication_identifier":{"issn":["0272-4979","1464-3642"]},"author":[{"full_name":"Karátson, János","last_name":"Karátson","first_name":"János"},{"first_name":"Balázs","orcid":"0000-0001-9872-3474","last_name":"Kovács","full_name":"Kovács, Balázs","id":"100441"},{"full_name":"Korotov, Sergey","last_name":"Korotov","first_name":"Sergey"}],"year":"2018","title":"Discrete maximum principles for nonlinear elliptic finite element problems on surfaces with boundary","intvolume":"        40","publication_status":"published","date_updated":"2024-04-03T09:21:21Z","date_created":"2023-07-10T11:41:27Z","department":[{"_id":"841"}],"type":"journal_article","keyword":["Applied Mathematics","Computational Mathematics","General Mathematics"],"issue":"2","publication":"IMA Journal of Numerical Analysis","abstract":[{"text":"<jats:title>Abstract</jats:title><jats:p>The maximum principle forms an important qualitative property of second-order elliptic equations; therefore, its discrete analogues, the so-called discrete maximum principles (DMPs), have drawn much attention owing to their role in reinforcing the qualitative reliability of the given numerical scheme. In this paper DMPs are established for nonlinear finite element problems on surfaces with boundary, corresponding to the classical pointwise maximum principles on Riemannian manifolds in the spirit of Pucci &amp; Serrin (2007, The Maximum Principle. Springer). Various real-life examples illustrate the scope of the results.</jats:p>","lang":"eng"}],"publisher":"Oxford University Press (OUP)","_id":"45950","page":"1241-1265","volume":40,"user_id":"100441","status":"public","citation":{"ieee":"J. Karátson, B. Kovács, and S. Korotov, “Discrete maximum principles for nonlinear elliptic finite element problems on surfaces with boundary,” <i>IMA Journal of Numerical Analysis</i>, vol. 40, no. 2, pp. 1241–1265, 2018, doi: <a href=\"https://doi.org/10.1093/imanum/dry086\">10.1093/imanum/dry086</a>.","apa":"Karátson, J., Kovács, B., &#38; Korotov, S. (2018). Discrete maximum principles for nonlinear elliptic finite element problems on surfaces with boundary. <i>IMA Journal of Numerical Analysis</i>, <i>40</i>(2), 1241–1265. <a href=\"https://doi.org/10.1093/imanum/dry086\">https://doi.org/10.1093/imanum/dry086</a>","chicago":"Karátson, János, Balázs Kovács, and Sergey Korotov. “Discrete Maximum Principles for Nonlinear Elliptic Finite Element Problems on Surfaces with Boundary.” <i>IMA Journal of Numerical Analysis</i> 40, no. 2 (2018): 1241–65. <a href=\"https://doi.org/10.1093/imanum/dry086\">https://doi.org/10.1093/imanum/dry086</a>.","short":"J. Karátson, B. Kovács, S. 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In this paper DMPs are established for nonlinear finite element problems on surfaces with boundary, corresponding to the classical pointwise maximum principles on Riemannian manifolds in the spirit of Pucci &amp; Serrin (2007, The Maximum Principle. Springer). Various real-life examples illustrate the scope of the results.</jats:p>","lang":"eng"}],"language":[{"iso":"eng"}],"doi":"10.1093/imanum/dry086","publication_identifier":{"issn":["0272-4979","1464-3642"]},"author":[{"last_name":"Karátson","first_name":"János","full_name":"Karátson, János"},{"full_name":"Kovács, Balázs","last_name":"Kovács","first_name":"Balázs"},{"full_name":"Korotov, Sergey","first_name":"Sergey","last_name":"Korotov"}],"title":"Discrete maximum principles for nonlinear elliptic finite element problems on surfaces with boundary","year":"2018","intvolume":"        40","date_updated":"2024-04-03T09:21:29Z","publication_status":"published","citation":{"short":"J. Karátson, B. Kovács, S. 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Discrete maximum principles for nonlinear elliptic finite element problems on surfaces with boundary. <i>IMA Journal of Numerical Analysis</i>, <i>40</i>(2), 1241–1265. <a href=\"https://doi.org/10.1093/imanum/dry086\">https://doi.org/10.1093/imanum/dry086</a>","bibtex":"@article{Karátson_Kovács_Korotov_2018, title={Discrete maximum principles for nonlinear elliptic finite element problems on surfaces with boundary}, volume={40}, DOI={<a href=\"https://doi.org/10.1093/imanum/dry086\">10.1093/imanum/dry086</a>}, number={2}, journal={IMA Journal of Numerical Analysis}, publisher={Oxford University Press (OUP)}, author={Karátson, János and Kovács, Balázs and Korotov, Sergey}, year={2018}, pages={1241–1265} }","ama":"Karátson J, Kovács B, Korotov S. 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