Lehrstuhl für Angewandte Mathematik

Address:
Cauerstraße 11
91058 Erlangen



Subordinate Organisational Units

Professur für Angewandte Mathematik
Professur für Angewandte Mathematik


Related Project(s)

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(TRR 154: Mathematische Modellierung, Simulation und Optimierung am Beispiel von Gasnetzwerken):
Decomposition methods for mixed-integer optimal control (A05) (2018 - 2022)
Prof. Dr. Günter Leugering; Prof. Dr. Alexander Martin; Prof. Dr. Martin Schmidt
(01/07/2018 - 30/06/2022)


(SPP 1679: Dynamic Simulation of Interconnected Solids Processes):
Modeling, simulation and optimization of process chains
Prof. Dr. Günter Leugering
(01/01/2015)


MatInEE - Mathematik für Ingenieure: Erfolgreich Einsteigen
Dr. Wigand Rathmann; Nicolai von Schroeders
(01/08/2014)


(TRR 154: Mathematical Modelling, Simulation and Optimisation Using the Example of Gas Networks):
TRR 154: Admissible Robust nodal control (C03)
apl. Prof. Dr. Martin Gugat
(01/07/2014)


(TRR 154: Mathematical Modelling, Simulation and Optimisation Using the Example of Gas Networks):
Mixed integer-continuous dynamical Systems with partial differential equations (A03)
PD Dr. Falk Hante; Prof. Dr. Günter Leugering
(01/07/2014)



Publications (Download BibTeX)

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Wang, Y., Leugering, G., & Li, T. (2019). Exact boundary controllability and its applications for a coupled system of quasilinear wave equations with dynamical boundary conditions. Nonlinear Analysis-Real World Applications, 49, 71-89. https://dx.doi.org/10.1016/j.nonrwa.2019.02.006
Süß, S., Lin, W., Getmanenko, O., Pflug, L., Sobisch, T., Peukert, W.,... Segets, D. (2019). Suspension- and powder-based derivation of Hansen dispersibility parameters for zinc oxide quantum dots. Particuology, 44, 71-79. https://dx.doi.org/10.1016/j.partic.2018.05.010
Kufner, T., Leugering, G., Semmler, J., Stingl, M., & Strohmeyer, C. (2019). SIMULATION AND STRUCTURAL OPTIMIZATION OF 3D TIMOSHENKO BEAM NETWORKS BASED ON FULLY ANALYTIC NETWORK SOLUTIONS. Esaim-Mathematical Modelling and Numerical Analysis-Modelisation Mathematique Et Analyse Numerique, 52(6), 2409-2431. https://dx.doi.org/10.1051/m2an/2018065
Bird, A., & Rathmann, W. (2019). Ein Online-Trainingscenter zur Stärkung der Rechenfähigkeiten. In Tagungsband 1st International STACK conference 2018. Fürth, DE: Zenodo.
Mehandiratta, V., Mehra, M., & Leugering, G. (2019). Existence and uniqueness results for a nonlinear Caputo fractional boundary value problem on a star graph. Journal of Mathematical Analysis and Applications. https://dx.doi.org/10.1016/j.jmaa.2019.05.011
Leugering, G., Li, T., & Wang, Y. (2019). 1-d Wave Equations Coupled via Viscoelastic Springs and Masses: Boundary Controllability of a Quasilinear and Exponential Stabilizability of a Linear Model. In Springer INdAM Series. (pp. 139-156). Springer International Publishing.
Gugat, M., & Hante, F. (2019). ON THE TURNPIKE PHENOMENON FOR OPTIMAL BOUNDARY CONTROL PROBLEMS WITH HYPERBOLIC SYSTEMS. SIAM Journal on Control and Optimization, 57(1), 264-289. https://dx.doi.org/10.1137/17M1134470
Pflug, L., & Keimer, A. (2019). On approximation of local conservation laws by nonlocal conservation laws. Journal of Mathematical Analysis and Applications, 475(2), 1927-1955. https://dx.doi.org/10.1016/j.jmaa.2019.03.063
Hante, F., & Schmidt, M. (2019). Complementarity-based nonlinear programming techniques for optimal mixing in gas networks. EURO Journal on Computational Optimization. https://dx.doi.org/10.1007/s13675-019-00112-w
Semmler, J., Bley, K., Klupp Taylor, R., Stingl, M., & Vogel, N. (2018). Particulate Coatings with Optimized Haze Properties. Advanced Functional Materials, 5. https://dx.doi.org/10.1002/adfm.201806025
Gugat, M., & Steffensen, S. (2018). DYNAMIC BOUNDARY CONTROL GAMES WITH NETWORKS OF STRINGS. Esaim-Control Optimisation and Calculus of Variations, 24(4), 1789-1813. https://dx.doi.org/10.1051/cocv/2017082
Gugat, M., & Schuster, M. (2018). Stationary Gas Networks with Compressor Control and Random Loads: Optimization with Probabilistic Constraints. Mathematical Problems in Engineering, 2018. https://dx.doi.org/10.1155/2018/7984079
Rathmann, W., & Wassermann, A. (2018, June). Dynamic Mathematics in Learning Management Systems. Paper presentation at 19th SEFI-MWG European Seminar on Mathematics in Engineering Education, ISEC (Instituto Superior de Engenharia de Coimbra).
Gugat, M., Leugering, G., Martin, A., Schmidt, M., Sirvent, M., & Wintergerst, D. (2018). MIP-based instantaneous control of mixed-integer PDE-constrained gas transport problems. Computational Optimization and Applications, 70(1), 267-294. https://dx.doi.org/10.1007/s10589-017-9970-1
Knossalla, M. (2018). Continuous outer subdifferentials in nonsmooth optimization. Set-Valued and Variational Analysis, 1-28. https://dx.doi.org/10.1007/s11228-018-0481-8
Rathmann, W., & von Schroeders, N. (2018). Online-Auswertungsverfahren STACK. In Stephanie Gleich (Hrg.), Medien im Mathematikunterricht. (pp. 39-56). Hildesheim: Franzbecker.
Knossalla, M. (2018). Minimization of marginal functions in mathematical programming based on continuous outer subdifferentials. Optimization, 1-21. https://dx.doi.org/10.1080/02331934.2018.1426579
Bley, K., Semmler, J., Rey, M., Zhao, C., Martic, N., Klupp Taylor, R.,... Vogel, N. (2018). Hierarchical Design of Metal Micro/Nanohole Array Films Optimizes Transparency and Haze Factor. Advanced Functional Materials. https://dx.doi.org/10.1002/adfm.201706965
Pflug, L., Spinola, M., & Keimer, A. (2018). NONLOCAL SCALAR CONSERVATION LAWS ON BOUNDED DOMAINS AND APPLICATIONS IN TRAFFIC FLOW. SIAM Journal on Mathematical Analysis, 50(6), 6271-6306. https://dx.doi.org/10.1137/18M119817X
Semmler, J., Pflug, L., & Stingl, M. (2018). Material optimization in transverse electromagnetic scattering applications. SIAM Journal on Scientific Computing, 40(1), B85-B109. https://dx.doi.org/10.1137/17M1127569

Last updated on 2019-24-04 at 10:27