[{"page":"61-79","_id":"16540","language":[{"iso":"eng"}],"user_id":"15701","doi":"10.1080/14689367.2016.1215410","title":"Sensing and control in symmetric networks","year":"2017","status":"public","author":[{"last_name":"Dellnitz","first_name":"Michael","full_name":"Dellnitz, Michael"},{"first_name":"Stefan","last_name":"Klus","full_name":"Klus, Stefan"}],"publication_identifier":{"issn":["1468-9367","1468-9375"]},"publication_status":"published","date_updated":"2022-01-06T06:52:52Z","date_created":"2020-04-15T08:40:29Z","type":"journal_article","department":[{"_id":"101"}],"publication":"Dynamical Systems","citation":{"short":"M. Dellnitz, S. Klus, Dynamical Systems (2017) 61–79.","chicago":"Dellnitz, Michael, and Stefan Klus. “Sensing and Control in Symmetric Networks.” <i>Dynamical Systems</i>, 2017, 61–79. <a href=\"https://doi.org/10.1080/14689367.2016.1215410\">https://doi.org/10.1080/14689367.2016.1215410</a>.","ieee":"M. Dellnitz and S. Klus, “Sensing and control in symmetric networks,” <i>Dynamical Systems</i>, pp. 61–79, 2017.","apa":"Dellnitz, M., &#38; Klus, S. (2017). Sensing and control in symmetric networks. <i>Dynamical Systems</i>, 61–79. <a href=\"https://doi.org/10.1080/14689367.2016.1215410\">https://doi.org/10.1080/14689367.2016.1215410</a>","bibtex":"@article{Dellnitz_Klus_2017, title={Sensing and control in symmetric networks}, DOI={<a href=\"https://doi.org/10.1080/14689367.2016.1215410\">10.1080/14689367.2016.1215410</a>}, journal={Dynamical Systems}, author={Dellnitz, Michael and Klus, Stefan}, year={2017}, pages={61–79} }","ama":"Dellnitz M, Klus S. Sensing and control in symmetric networks. <i>Dynamical Systems</i>. 2017:61-79. doi:<a href=\"https://doi.org/10.1080/14689367.2016.1215410\">10.1080/14689367.2016.1215410</a>","mla":"Dellnitz, Michael, and Stefan Klus. “Sensing and Control in Symmetric Networks.” <i>Dynamical Systems</i>, 2017, pp. 61–79, doi:<a href=\"https://doi.org/10.1080/14689367.2016.1215410\">10.1080/14689367.2016.1215410</a>."}},{"title":"A Set-Oriented Numerical Approach for Dynamical Systems with Parameter Uncertainty","year":"2017","status":"public","publication_identifier":{"issn":["1536-0040"]},"author":[{"full_name":"Dellnitz, Michael","last_name":"Dellnitz","first_name":"Michael"},{"last_name":"Klus","first_name":"Stefan","full_name":"Klus, Stefan"},{"full_name":"Ziessler, Adrian","last_name":"Ziessler","first_name":"Adrian"}],"publication_status":"published","date_updated":"2022-01-06T06:52:52Z","page":"120-138","_id":"16581","language":[{"iso":"eng"}],"user_id":"15701","doi":"10.1137/16m1072735","publication":"SIAM Journal on Applied Dynamical Systems","citation":{"mla":"Dellnitz, Michael, et al. “A Set-Oriented Numerical Approach for Dynamical Systems with Parameter Uncertainty.” <i>SIAM Journal on Applied Dynamical Systems</i>, 2017, pp. 120–38, doi:<a href=\"https://doi.org/10.1137/16m1072735\">10.1137/16m1072735</a>.","bibtex":"@article{Dellnitz_Klus_Ziessler_2017, title={A Set-Oriented Numerical Approach for Dynamical Systems with Parameter Uncertainty}, DOI={<a href=\"https://doi.org/10.1137/16m1072735\">10.1137/16m1072735</a>}, journal={SIAM Journal on Applied Dynamical Systems}, author={Dellnitz, Michael and Klus, Stefan and Ziessler, Adrian}, year={2017}, pages={120–138} }","ama":"Dellnitz M, Klus S, Ziessler A. A Set-Oriented Numerical Approach for Dynamical Systems with Parameter Uncertainty. <i>SIAM Journal on Applied Dynamical Systems</i>. 2017:120-138. doi:<a href=\"https://doi.org/10.1137/16m1072735\">10.1137/16m1072735</a>","ieee":"M. Dellnitz, S. Klus, and A. Ziessler, “A Set-Oriented Numerical Approach for Dynamical Systems with Parameter Uncertainty,” <i>SIAM Journal on Applied Dynamical Systems</i>, pp. 120–138, 2017.","apa":"Dellnitz, M., Klus, S., &#38; Ziessler, A. (2017). A Set-Oriented Numerical Approach for Dynamical Systems with Parameter Uncertainty. <i>SIAM Journal on Applied Dynamical Systems</i>, 120–138. <a href=\"https://doi.org/10.1137/16m1072735\">https://doi.org/10.1137/16m1072735</a>","short":"M. Dellnitz, S. Klus, A. Ziessler, SIAM Journal on Applied Dynamical Systems (2017) 120–138.","chicago":"Dellnitz, Michael, Stefan Klus, and Adrian Ziessler. “A Set-Oriented Numerical Approach for Dynamical Systems with Parameter Uncertainty.” <i>SIAM Journal on Applied Dynamical Systems</i>, 2017, 120–38. <a href=\"https://doi.org/10.1137/16m1072735\">https://doi.org/10.1137/16m1072735</a>."},"date_created":"2020-04-16T05:39:17Z","type":"journal_article","department":[{"_id":"101"}]},{"date_updated":"2022-01-06T06:52:53Z","publication_status":"published","author":[{"full_name":"Peitz, Sebastian","first_name":"Sebastian","last_name":"Peitz"},{"first_name":"Kai","last_name":"Schäfer","full_name":"Schäfer, Kai"},{"first_name":"Sina","last_name":"Ober-Blöbaum","full_name":"Ober-Blöbaum, Sina"},{"full_name":"Eckstein, Julian","first_name":"Julian","last_name":"Eckstein"},{"first_name":"Ulrich","last_name":"Köhler","full_name":"Köhler, Ulrich"},{"full_name":"Dellnitz, Michael","first_name":"Michael","last_name":"Dellnitz"}],"publication_identifier":{"issn":["2405-8963"]},"title":"A Multiobjective MPC Approach for Autonomously Driven Electric Vehicles * *This research was funded by the German Federal Ministry of Education and Research (BMBF) within the Leading-Edge Cluster Intelligent Technical Systems OstWestfalenLippe (it’s OWL).","status":"public","year":"2017","doi":"10.1016/j.ifacol.2017.08.1526","user_id":"15701","_id":"16657","language":[{"iso":"eng"}],"page":"8674-8679","citation":{"ama":"Peitz S, Schäfer K, Ober-Blöbaum S, Eckstein J, Köhler U, Dellnitz M. A Multiobjective MPC Approach for Autonomously Driven Electric Vehicles * *This research was funded by the German Federal Ministry of Education and Research (BMBF) within the Leading-Edge Cluster Intelligent Technical Systems OstWestfalenLippe (it’s OWL). <i>IFAC-PapersOnLine</i>. 2017:8674-8679. doi:<a href=\"https://doi.org/10.1016/j.ifacol.2017.08.1526\">10.1016/j.ifacol.2017.08.1526</a>","bibtex":"@article{Peitz_Schäfer_Ober-Blöbaum_Eckstein_Köhler_Dellnitz_2017, title={A Multiobjective MPC Approach for Autonomously Driven Electric Vehicles * *This research was funded by the German Federal Ministry of Education and Research (BMBF) within the Leading-Edge Cluster Intelligent Technical Systems OstWestfalenLippe (it’s OWL).}, DOI={<a href=\"https://doi.org/10.1016/j.ifacol.2017.08.1526\">10.1016/j.ifacol.2017.08.1526</a>}, journal={IFAC-PapersOnLine}, author={Peitz, Sebastian and Schäfer, Kai and Ober-Blöbaum, Sina and Eckstein, Julian and Köhler, Ulrich and Dellnitz, Michael}, year={2017}, pages={8674–8679} }","mla":"Peitz, Sebastian, et al. “A Multiobjective MPC Approach for Autonomously Driven Electric Vehicles * *This Research Was Funded by the German Federal Ministry of Education and Research (BMBF) within the Leading-Edge Cluster Intelligent Technical Systems OstWestfalenLippe (It’s OWL).” <i>IFAC-PapersOnLine</i>, 2017, pp. 8674–79, doi:<a href=\"https://doi.org/10.1016/j.ifacol.2017.08.1526\">10.1016/j.ifacol.2017.08.1526</a>.","short":"S. Peitz, K. Schäfer, S. Ober-Blöbaum, J. Eckstein, U. Köhler, M. Dellnitz, IFAC-PapersOnLine (2017) 8674–8679.","chicago":"Peitz, Sebastian, Kai Schäfer, Sina Ober-Blöbaum, Julian Eckstein, Ulrich Köhler, and Michael Dellnitz. “A Multiobjective MPC Approach for Autonomously Driven Electric Vehicles * *This Research Was Funded by the German Federal Ministry of Education and Research (BMBF) within the Leading-Edge Cluster Intelligent Technical Systems OstWestfalenLippe (It’s OWL).” <i>IFAC-PapersOnLine</i>, 2017, 8674–79. <a href=\"https://doi.org/10.1016/j.ifacol.2017.08.1526\">https://doi.org/10.1016/j.ifacol.2017.08.1526</a>.","apa":"Peitz, S., Schäfer, K., Ober-Blöbaum, S., Eckstein, J., Köhler, U., &#38; Dellnitz, M. (2017). A Multiobjective MPC Approach for Autonomously Driven Electric Vehicles * *This research was funded by the German Federal Ministry of Education and Research (BMBF) within the Leading-Edge Cluster Intelligent Technical Systems OstWestfalenLippe (it’s OWL). <i>IFAC-PapersOnLine</i>, 8674–8679. <a href=\"https://doi.org/10.1016/j.ifacol.2017.08.1526\">https://doi.org/10.1016/j.ifacol.2017.08.1526</a>","ieee":"S. Peitz, K. Schäfer, S. Ober-Blöbaum, J. Eckstein, U. Köhler, and M. Dellnitz, “A Multiobjective MPC Approach for Autonomously Driven Electric Vehicles * *This research was funded by the German Federal Ministry of Education and Research (BMBF) within the Leading-Edge Cluster Intelligent Technical Systems OstWestfalenLippe (it’s OWL).,” <i>IFAC-PapersOnLine</i>, pp. 8674–8679, 2017."},"publication":"IFAC-PapersOnLine","department":[{"_id":"101"}],"type":"journal_article","date_created":"2020-04-16T09:30:56Z"},{"user_id":"477","publisher":"Universität Paderborn","_id":"104","date_updated":"2022-01-06T06:50:38Z","status":"public","title":"EAX - An Authenticated Encryption Mode for Block Ciphers","year":"2017","author":[{"last_name":"Diemert","first_name":"Denis","full_name":"Diemert, Denis"}],"type":"bachelorsthesis","department":[{"_id":"64"}],"date_created":"2017-10-17T12:41:11Z","project":[{"_id":"1","name":"SFB 901"},{"name":"SFB 901 - Subprojekt C1","_id":"13"},{"_id":"4","name":"SFB 901 - Project Area C"}],"citation":{"bibtex":"@book{Diemert_2017, title={EAX - An Authenticated Encryption Mode for Block Ciphers}, publisher={Universität Paderborn}, author={Diemert, Denis}, year={2017} }","short":"D. Diemert, EAX - An Authenticated Encryption Mode for Block Ciphers, Universität Paderborn, 2017.","ama":"Diemert D. <i>EAX - An Authenticated Encryption Mode for Block Ciphers</i>. Universität Paderborn; 2017.","chicago":"Diemert, Denis. <i>EAX - An Authenticated Encryption Mode for Block Ciphers</i>. Universität Paderborn, 2017.","ieee":"D. Diemert, <i>EAX - An Authenticated Encryption Mode for Block Ciphers</i>. Universität Paderborn, 2017.","mla":"Diemert, Denis. <i>EAX - An Authenticated Encryption Mode for Block Ciphers</i>. Universität Paderborn, 2017.","apa":"Diemert, D. (2017). <i>EAX - An Authenticated Encryption Mode for Block Ciphers</i>. Universität Paderborn."},"supervisor":[{"full_name":"Blömer, Johannes","last_name":"Blömer","first_name":"Johannes","id":"23"}]},{"date_updated":"2022-01-06T06:50:42Z","author":[{"full_name":"Gmyr, Robert","last_name":"Gmyr","first_name":"Robert"},{"full_name":"Hinnenthal, Kristian","first_name":"Kristian","last_name":"Hinnenthal","id":"32229"},{"id":"20792","last_name":"Scheideler","first_name":"Christian","full_name":"Scheideler, Christian"},{"full_name":"Sohler, Christian","last_name":"Sohler","first_name":"Christian"}],"title":"Distributed Monitoring of Network Properties: The Power of Hybrid Networks","year":"2017","doi":"10.4230/LIPIcs.ICALP.2017.137","language":[{"iso":"eng"}],"series_title":"Leibniz International Proceedings in Informatics (LIPIcs)","abstract":[{"text":"We initiate the study of network monitoring algorithms in a class of hybrid networks in which the nodes are connected by an external network and an internal network (as a short form for externally and internally controlled network). While the external network lies outside of the control of the nodes (or in our case, the monitoring protocol running in them) and might be exposed to continuous changes, the internal network is fully under the control of the nodes. As an example, consider a group of users with mobile devices having access to the cell phone infrastructure. While the network formed by the WiFi connections of the devices is an external network (as its structure is not necessarily under the control of the monitoring protocol), the connections between the devices via the cell phone infrastructure represent an internal network (as it can be controlled by the monitoring protocol). Our goal is to continuously monitor properties of the external network with the help of the internal network. We present scalable distributed algorithms that efficiently monitor the number of edges, the average node degree, the clustering coefficient, the bipartiteness, and the weight of a minimum spanning tree. Their performance bounds demonstrate that monitoring the external network state with the help of an internal network can be done much more efficiently than just using the external network, as is usually done in the literature.","lang":"eng"}],"publication":"Proceedings of the 44th International Colloquium on Automata, Languages, and Programming (ICALP)","department":[{"_id":"79"}],"type":"conference","date_created":"2017-10-17T12:41:12Z","file":[{"creator":"florida","date_created":"2018-03-13T09:23:11Z","file_name":"105-ICALP17-GHSS.pdf","access_level":"closed","file_size":504161,"relation":"main_file","date_updated":"2018-03-13T09:23:11Z","file_id":"1207","success":1,"content_type":"application/pdf"}],"has_accepted_license":"1","status":"public","user_id":"20792","ddc":["040"],"_id":"105","page":"137:1--137:15","project":[{"name":"SFB 901","_id":"1"},{"_id":"2","name":"SFB 901 - Project Area A"},{"_id":"5","name":"SFB 901 - Subproject A1"}],"citation":{"bibtex":"@inproceedings{Gmyr_Hinnenthal_Scheideler_Sohler_2017, series={Leibniz International Proceedings in Informatics (LIPIcs)}, title={Distributed Monitoring of Network Properties: The Power of Hybrid Networks}, DOI={<a href=\"https://doi.org/10.4230/LIPIcs.ICALP.2017.137\">10.4230/LIPIcs.ICALP.2017.137</a>}, booktitle={Proceedings of the 44th International Colloquium on Automata, Languages, and Programming (ICALP)}, author={Gmyr, Robert and Hinnenthal, Kristian and Scheideler, Christian and Sohler, Christian}, year={2017}, pages={137:1--137:15}, collection={Leibniz International Proceedings in Informatics (LIPIcs)} }","ama":"Gmyr R, Hinnenthal K, Scheideler C, Sohler C. Distributed Monitoring of Network Properties: The Power of Hybrid Networks. In: <i>Proceedings of the 44th International Colloquium on Automata, Languages, and Programming (ICALP)</i>. Leibniz International Proceedings in Informatics (LIPIcs). ; 2017:137:1--137:15. doi:<a href=\"https://doi.org/10.4230/LIPIcs.ICALP.2017.137\">10.4230/LIPIcs.ICALP.2017.137</a>","mla":"Gmyr, Robert, et al. “Distributed Monitoring of Network Properties: The Power of Hybrid Networks.” <i>Proceedings of the 44th International Colloquium on Automata, Languages, and Programming (ICALP)</i>, 2017, pp. 137:1--137:15, doi:<a href=\"https://doi.org/10.4230/LIPIcs.ICALP.2017.137\">10.4230/LIPIcs.ICALP.2017.137</a>.","short":"R. Gmyr, K. Hinnenthal, C. Scheideler, C. Sohler, in: Proceedings of the 44th International Colloquium on Automata, Languages, and Programming (ICALP), 2017, pp. 137:1--137:15.","chicago":"Gmyr, Robert, Kristian Hinnenthal, Christian Scheideler, and Christian Sohler. “Distributed Monitoring of Network Properties: The Power of Hybrid Networks.” In <i>Proceedings of the 44th International Colloquium on Automata, Languages, and Programming (ICALP)</i>, 137:1--137:15. Leibniz International Proceedings in Informatics (LIPIcs), 2017. <a href=\"https://doi.org/10.4230/LIPIcs.ICALP.2017.137\">https://doi.org/10.4230/LIPIcs.ICALP.2017.137</a>.","ieee":"R. Gmyr, K. Hinnenthal, C. Scheideler, and C. Sohler, “Distributed Monitoring of Network Properties: The Power of Hybrid Networks,” in <i>Proceedings of the 44th International Colloquium on Automata, Languages, and Programming (ICALP)</i>, 2017, pp. 137:1--137:15.","apa":"Gmyr, R., Hinnenthal, K., Scheideler, C., &#38; Sohler, C. (2017). Distributed Monitoring of Network Properties: The Power of Hybrid Networks. In <i>Proceedings of the 44th International Colloquium on Automata, Languages, and Programming (ICALP)</i> (pp. 137:1--137:15). <a href=\"https://doi.org/10.4230/LIPIcs.ICALP.2017.137\">https://doi.org/10.4230/LIPIcs.ICALP.2017.137</a>"},"file_date_updated":"2018-03-13T09:23:11Z"},{"user_id":"49109","language":[{"iso":"eng"}],"_id":"10589","page":"1000-1005","date_updated":"2022-01-06T06:50:45Z","author":[{"last_name":"Fürnkranz","first_name":"J.","full_name":"Fürnkranz, J."},{"id":"48129","first_name":"Eyke","last_name":"Hüllermeier","full_name":"Hüllermeier, Eyke"}],"status":"public","year":"2017","title":"Preference Learning","department":[{"_id":"34"},{"_id":"7"},{"_id":"355"}],"type":"encyclopedia_article","date_created":"2019-07-09T15:37:09Z","citation":{"mla":"Fürnkranz, J., and Eyke Hüllermeier. “Preference Learning.” <i>Encyclopedia of Machine Learning and Data Mining</i>, 2017, pp. 1000–05.","ama":"Fürnkranz J, Hüllermeier E. Preference Learning. In: <i>Encyclopedia of Machine Learning and Data Mining</i>. ; 2017:1000-1005.","bibtex":"@inbook{Fürnkranz_Hüllermeier_2017, title={Preference Learning}, booktitle={Encyclopedia of Machine Learning and Data Mining}, author={Fürnkranz, J. and Hüllermeier, Eyke}, year={2017}, pages={1000–1005} }","apa":"Fürnkranz, J., &#38; Hüllermeier, E. (2017). Preference Learning. In <i>Encyclopedia of Machine Learning and Data Mining</i> (pp. 1000–1005).","ieee":"J. Fürnkranz and E. Hüllermeier, “Preference Learning,” in <i>Encyclopedia of Machine Learning and Data Mining</i>, 2017, pp. 1000–1005.","short":"J. Fürnkranz, E. Hüllermeier, in: Encyclopedia of Machine Learning and Data Mining, 2017, pp. 1000–1005.","chicago":"Fürnkranz, J., and Eyke Hüllermeier. “Preference Learning.” In <i>Encyclopedia of Machine Learning and Data Mining</i>, 1000–1005, 2017."},"publication":"Encyclopedia of Machine Learning and Data Mining"},{"status":"public","has_accepted_license":"1","_id":"10594","user_id":"47427","ddc":["510"],"file_date_updated":"2020-03-13T12:52:50Z","citation":{"short":"S. Peitz,   Exploiting Structure in Multiobjective Optimization and Optimal Control, 2017.","chicago":"Peitz, Sebastian. <i>  Exploiting Structure in Multiobjective Optimization and Optimal Control</i>, 2017. <a href=\"https://doi.org/10.17619/UNIPB/1-176\">https://doi.org/10.17619/UNIPB/1-176</a>.","apa":"Peitz, S. (2017). <i>  Exploiting structure in multiobjective optimization and optimal control</i>. <a href=\"https://doi.org/10.17619/UNIPB/1-176\">https://doi.org/10.17619/UNIPB/1-176</a>","ieee":"S. Peitz, <i>  Exploiting structure in multiobjective optimization and optimal control</i>. 2017.","ama":"Peitz S. <i>  Exploiting Structure in Multiobjective Optimization and Optimal Control</i>.; 2017. doi:<a href=\"https://doi.org/10.17619/UNIPB/1-176\">10.17619/UNIPB/1-176</a>","bibtex":"@book{Peitz_2017, title={  Exploiting structure in multiobjective optimization and optimal control}, DOI={<a href=\"https://doi.org/10.17619/UNIPB/1-176\">10.17619/UNIPB/1-176</a>}, author={Peitz, Sebastian}, year={2017} }","mla":"Peitz, Sebastian. <i>  Exploiting Structure in Multiobjective Optimization and Optimal Control</i>. 2017, doi:<a href=\"https://doi.org/10.17619/UNIPB/1-176\">10.17619/UNIPB/1-176</a>."},"project":[{"name":"Computing Resources Provided by the Paderborn Center for Parallel Computing","_id":"52"}],"oa":"1","year":"2017","title":" \tExploiting structure in multiobjective optimization and optimal control","author":[{"id":"47427","full_name":"Peitz, Sebastian","last_name":"Peitz","orcid":"https://orcid.org/0000-0002-3389-793X","first_name":"Sebastian"}],"publication_status":"published","date_updated":"2022-01-06T06:50:46Z","main_file_link":[{"url":"https://d-nb.info/1139356542/34","open_access":"1"}],"language":[{"iso":"eng"}],"doi":"10.17619/UNIPB/1-176","abstract":[{"text":"Multiobjective optimization plays an increasingly important role in modern applications, where several criteria are often of equal importance. The task in multiobjective optimization and multiobjective optimal control is therefore to compute\r\nthe set of optimal compromises (the Pareto set) between the conflicting objectives.\r\n\r\nSince – in contrast to the solution of a single objective optimization problem – the\r\nPareto set generally consists of an infinite number of solutions, the computational\r\neffort can quickly become challenging. This is even more the case when many problems have to be solved, when the number of objectives is high, or when the objectives\r\nare costly to evaluate. Consequently, this thesis is devoted to the identification and\r\nexploitation of structure both in the Pareto set and the dynamics of the underlying\r\nmodel as well as to the development of efficient algorithms for solving problems with\r\nadditional parameters, with a high number of objectives or with PDE-constraints.\r\nThese three challenges are addressed in three respective parts.\r\n\r\nIn the first part, predictor-corrector methods are extended to entire Pareto sets.\r\nWhen certain smoothness assumptions are satisfied, then the set of parameter dependent Pareto sets possesses additional structure, i.e. it is a manifold. The tangent\r\nspace can be approximated numerically which yields a direction for the predictor\r\nstep. In the corrector step, the predicted set converges to the Pareto set at a new\r\nparameter value. The resulting algorithm is applied to an example from autonomous\r\ndriving.\r\n\r\nIn the second part, the hierarchical structure of Pareto sets is investigated. When\r\nconsidering a subset of the objectives, the resulting solution is a subset of the Pareto\r\nset of the original problem. Under additional smoothness assumptions, the respective subsets are located on the boundary of the Pareto set of the full problem. This\r\nway, the “skeleton” of a Pareto set can be computed and due to the exponential\r\nincrease in computing time with the number of objectives, the computations of\r\nthese subsets are significantly faster which is demonstrated using an example from\r\nindustrial laundries.\r\n\r\nIn the third part, PDE-constrained multiobjective optimal control problems are\r\naddressed by reduced order modeling methods. Reduced order models exploit the\r\nstructure in the system dynamics, for example by describing the dynamics of only the\r\nmost energetic modes. The model reduction introduces an error in both the function values and their gradients, which has to be taken into account in the development of\r\nalgorithms. Both scalarization and set-oriented approaches are coupled with reduced\r\norder modeling. Convergence results are presented and the numerical benefit is\r\ninvestigated. The algorithms are applied to semi-linear heat flow problems as well\r\nas to the Navier-Stokes equations.\r\n","lang":"eng"}],"file":[{"creator":"speitz","date_created":"2020-03-13T12:52:50Z","relation":"main_file","date_updated":"2020-03-13T12:52:50Z","file_name":"Dissertation_Peitz.pdf","file_size":16636801,"access_level":"closed","file_id":"16298","content_type":"application/pdf","success":1}],"date_created":"2019-07-10T08:12:22Z","type":"dissertation","department":[{"_id":"101"}]},{"_id":"10600","language":[{"iso":"eng"}],"doi":"10.1145/2996468","user_id":"398","title":"The First 25 Years of the FPL Conference – Significant Papers","status":"public","year":"2017","author":[{"first_name":"Philip","last_name":"H.W. Leong","full_name":"H.W. 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