Peitz, S. (2017).   Exploiting structure in multiobjective optimization and optimal control.https://doi.org/10.17619/UNIPB/1-176 

Biasco, L., &; Di Gregorio, L. (2009). A Birkhoff–Lewis Type Theorem for the Nonlinear Wave Equation. Archive for Rational Mechanics and Analysis, 303–362.https://doi.org/10.1007/s00205-009-0240-y 

Eckstein, J., Peitz, S., Schäfer, K., Friedel, P., Köhler, U., Hessel von Molo, M., Ober-Blöbaum, S., &; Dellnitz, M. (2016). A comparison of two predictive approaches to control the longitudinal dynamics of electric vehicles. Procedia Technology, 3rd International Conference on System-Integrated Intelligence: New Challenges for Product and Production Engineering, 26, 465–472.https://doi.org/10.1016/j.protcy.2016.08.059 

Dellnitz, M., Froyland, G., &; Sertl, S. (2000). A Conjecture on the Existence of Isolated Eigenvalues of the Perron-Frobenius Operator. In Equadiff 99.https://doi.org/10.1142/9789812792617_0199 

Gebken, B., Peitz, S., &; Dellnitz, M. (2018). A Descent Method for Equality and Inequality Constrained Multiobjective Optimization Problems. In Numerical and Evolutionary Optimization – NEO 2017. Cham.https://doi.org/10.1007/978-3-319-96104-0_2 

Sonntag, K., Gebken, B., Müller, G., Peitz, S., &; Volkwein, S. (2024). A Descent Method for Nonsmooth Multiobjective Optimization in Hilbert Spaces. In arXiv:2402.06376.

Schütze, O., Talbi, E., Pulido, G. T., Coello, C. C., &; Santana-Quintero, L. V. (2007). A Memetic PSO Algorithm for Scalar Optimization Problems. In 2007 IEEE Swarm Intelligence Symposium.https://doi.org/10.1109/sis.2007.368036 

Dellnitz, M., Ober-Blöbaum, S., Post, M., Schütze, O., &; Thiere, B. (2009). A multi-objective approach to the design of low thrust space trajectories using optimal control. Celestial Mechanics and Dynamical Astronomy, 33–59.https://doi.org/10.1007/s10569-009-9229-y 

Peitz, S., Schäfer, K., Ober-Blöbaum, S., Eckstein, J., Köhler, U., &; Dellnitz, M. (2017). A multiobjective MPC approach for autonomously driven electric vehicles. Proceedings of the 20th World Congress of the International Federation of Automatic Control (IFAC), 50(1), 8674–8679.https://doi.org/10.1016/j.ifacol.2017.08.1526 

Peitz, S., Schäfer, K., Ober-Blöbaum, S., Eckstein, J., Köhler, U., &; 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). IFAC-PapersOnLine, 8674–8679.https://doi.org/10.1016/j.ifacol.2017.08.1526 

Ober-Blöbaum, S., &; Seifried, A. (2013). A multiobjective optimization approach for optimal control problems of mechanical systems with uncertainties. In 2013 European Control Conference (ECC).https://doi.org/10.23919/ecc.2013.6669594 

Witting, K., Schulz, B., Dellnitz, M., Böcker, J., &; Fröhleke, N. (2008). A new approach for online multiobjective optimization of mechatronic systems. International Journal on Software Tools for Technology Transfer, 223–231.https://doi.org/10.1007/s10009-008-0066-1 

Schütze, O. (2003). A New Data Structure for the Nondominance Problem in Multi-objective Optimization. In Lecture Notes in Computer Science. Berlin, Heidelberg.https://doi.org/10.1007/3-540-36970-8_36 

Gebken, B. (2024). A note on the convergence of deterministic gradient sampling in nonsmooth optimization. Computational Optimization and Applications.https://doi.org/10.1007/s10589-024-00552-0 

Dellnitz, M., &; Melbourne, I. (1995). A note on the shadowing lemma and symmetric periodic points. Nonlinearity, 1067–1075.https://doi.org/10.1088/0951-7715/8/6/010 

von der Gracht, S., Nijholt, E., &; Rink, B. (n.d.). A parametrisation method for high-order phase reduction in coupled  oscillator networks. In arXiv:2306.03320.

Day, S., Junge, O., &; Mischaikow, K. (2004). A Rigorous Numerical Method for the Global Analysis of Infinite-Dimensional Discrete Dynamical Systems. SIAM Journal on Applied Dynamical Systems, 117–160.https://doi.org/10.1137/030600210 

Junge, O., &; Osinga, H. M. (2004). A set oriented approach to global optimal control. ESAIM: Control, Optimisation and Calculus of Variations, 259–270.https://doi.org/10.1051/cocv:2004006 

Grüne, L., &; Junge, O. (2005). A set oriented approach to optimal feedback stabilization. Systems &; Control Letters, 169–180.https://doi.org/10.1016/j.sysconle.2004.08.005 

Dellnitz, M., Klus, S., &; Ziessler, A. (2017). A Set-Oriented Numerical Approach for Dynamical Systems with Parameter Uncertainty. SIAM Journal on Applied Dynamical Systems, 120–138.https://doi.org/10.1137/16m1072735 

Gerlach, R., Ziessler, A., Eckhardt, B., &; Dellnitz, M. (2020). A Set-Oriented Path Following Method for the Approximation of Parameter Dependent Attractors. SIAM Journal on Applied Dynamical Systems, 705–723.https://doi.org/10.1137/19m1247139 

Dellnitz, M., &; Hohmann, A. (1997). A subdivision algorithm for the computation of unstable manifolds and global attractors. Numerische Mathematik, 75, 293–317.https://doi.org/10.1007/s002110050240 

Krauskopf, B., Osinga, H. M., Doedel, E. J., Henderson, M. E., Guckenheimer, J., Vladimirsky, A.,https://doi.org/10.1142/s0218127405012533__Junge, O. (2005). A Survey of Methods for Computing (un)stable Manifolds of Vector Fields. International Journal of Bifurcation and Chaos, 763–791.https://doi.org/10.1142/s0218127405012533 

Peitz, S., &; Dellnitz, M. (2018). A Survey of Recent Trends in Multiobjective Optimal Control—Surrogate Models, Feedback Control and Objective Reduction. Mathematical and Computational Applications, 23(2).https://doi.org/10.3390/mca23020030 

Witting, K., Ober-Blöbaum, S., &; Dellnitz, M. (2013). A variational approach to define robustness for parametric multiobjective optimization problems. Journal of Global Optimization, 331–345.https://doi.org/10.1007/s10898-012-9972-6 

Noé, F., &; Nüske, F. (2013). A Variational Approach to Modeling Slow Processes in Stochastic Dynamical Systems. Multiscale Modeling &; Simulation, 635–655.https://doi.org/10.1137/110858616 

Dellnitz, M., &; Heinrich, C. (1995). Admissible symmetry increasing bifurcations. Nonlinearity, 1039–1066.https://doi.org/10.1088/0951-7715/8/6/009 

Vieluf, S., Mora, K., Gölz, C., Reuter, E.-M., Godde, B., Dellnitz, M.,https://doi.org/10.1016/j.neuroscience.2018.07.025__Voelcker-Rehage, C. (2018). Age- and Expertise-Related Differences of Sensorimotor Network Dynamics during Force Control. Neuroscience, 203–213.https://doi.org/10.1016/j.neuroscience.2018.07.025 

Dellnitz, M., &; Junge, O. (1997). Almost Invariant Sets in Chua’s Circuit. International Journal of Bifurcation and Chaos, 2475–2485.https://doi.org/10.1142/s0218127497001655 

Guder, R., Dellnitz, M., &; Kreuzer, E. (1997). An adaptive method for the approximation of the generalized cell mapping. Chaos, Solitons &; Fractals, 525–534.https://doi.org/10.1016/s0960-0779(96)00118-x 

Dellnitz, M., &; Junge, O. (1998). An adaptive subdivision technique for the approximation of attractors and invariant measures. Computing and Visualization in Science, 63–68.https://doi.org/10.1007/s007910050006 

Junge, O. (2001). An adaptive subdivision technique for the approximation of attractors and invariant measures: proof of convergence. Dynamical Systems, 213–222.https://doi.org/10.1080/14689360109696233 

Klus, S., Sahai, T., Liu, C., &; Dellnitz, M. (2011). An efficient algorithm for the parallel solution of high-dimensional differential equations. Journal of Computational and Applied Mathematics, 3053–3062.https://doi.org/10.1016/j.cam.2010.12.026 

Gebken, B., &; Peitz, S. (2021). An efficient descent method for locally Lipschitz multiobjective optimization problems. Journal of Optimization Theory and Applications, 188, 696–723.https://doi.org/10.1007/s10957-020-01803-w 

Timmermann, R., &; Dellnitz, M. (2013). Analysis of team and player performance using recorded trajectory data. In Performance Analysis of Sport IX, Part 8, Routledge.

Klus, S., Peitz, S., &; Schuster, I. (2018). Analyzing high-dimensional time-series data using kernel transfer  operator eigenfunctions. ArXiv:1805.10118.

Preis, R., Monien, B., &; Schamberger, S. (2007). Approximation Algorithms for Multilevel Graph Partitioning. In Handbook of Approximation Algorithms and Metaheuristics.https://doi.org/10.1201/9781420010749.ch60 

Demoures, F., Gay-Balmaz, F., Leitz, T., Leyendecker, S., Ober-Blöbaum, S., &; Ratiu, T. S. (2013). Asynchronous variational Lie group integration for geometrically exact beam dynamics. PAMM, 45–46.https://doi.org/10.1002/pamm.201310018 

Nüske, F., Boninsegna, L., &; Clementi, C. (2019). Coarse-graining molecular systems by spectral matching. The Journal of Chemical Physics.https://doi.org/10.1063/1.5100131 

Dellnitz, M. (1994). Collisions of chaotic attractors. Schlaglichter Der Forschung: Zum 75. Jahrestag Der Universität Hamburg, 411–428.

Gebken, B. (2022). Computation and analysis of Pareto critical sets in smooth and nonsmooth multiobjective optimization.https://doi.org/10.17619/UNIPB/1-1327 

Deuflhard, P., Dellnitz, M., Junge, O., &; Schütte, C. (1999). Computation of Essential Molecular Dynamics by Subdivision Techniques. In Computational Molecular Dynamics: Challenges, Methods, Ideas. Berlin, Heidelberg.https://doi.org/10.1007/978-3-642-58360-5_5 

Dellnitz, M., &; Witting, K. (2009). Computation of robust Pareto points. International Journal of Computing Science and Mathematics.https://doi.org/10.1504/ijcsm.2009.027876 

Aston, P. J., &; Dellnitz, M. (2003). Computation of the dominant Lyapunov exponent via spatial integration using matrix norms. Proceedings of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences, 2933–2955.https://doi.org/10.1098/rspa.2003.1143 

Dellnitz, M. (1992). Computational bifurcation of periodic solutions in systems with symmetry. IMA Journal of Numerical Analysis, 12(3), 429–455.https://doi.org/10.1093/imanum/12.3.429 

Dellnitz, M., &; Werner, B. (1989). Computational methods for bifurcation problems with symmetries—with special attention to steady state and Hopf bifurcation points. Journal of Computational and Applied Mathematics, 97–123.https://doi.org/10.1016/0377-0427(89)90150-7 

Gail, T., Leyendecker, S., &; Ober-Blöbaum, S. (2013). Computing time investigations for variational multirate integration. PAMM, 43–44.https://doi.org/10.1002/pamm.201310017 

Dellnitz, M., &; Preis, R. (2003). Congestion and Almost Invariant Sets in Dynamical Systems. In Lecture Notes in Computer Science. Berlin, Heidelberg.https://doi.org/10.1007/3-540-45084-x_8 

Dellnitz, M., Padberg, K., Preis, R., &; Thiere, B. (2010). Continuous and Discrete Concepts for Detecting Transport Barriers in the Planar Circular Restricted Three Body Problem. In Nonlinear Science and Complexity. Dordrecht.https://doi.org/10.1007/978-90-481-9884-9_12 

Sahai, T., Ziessler, A., Klus, S., &; Dellnitz, M. (2019). Continuous relaxations for the traveling salesman problem. Nonlinear Dynamics.https://doi.org/10.1007/s11071-019-05092-5