@inproceedings{29945,
  author       = {{Witschen, Linus Matthias and Wiersema, Tobias and Reuter, Lucas David and Platzner, Marco}},
  booktitle    = {{2022 59th ACM/IEEE Design Automation Conference (DAC)}},
  location     = {{San Francisco, USA}},
  title        = {{{Search Space Characterization for Approximate Logic Synthesis }}},
  year         = {{2022}},
}

@inproceedings{29865,
  author       = {{Witschen, Linus Matthias and Wiersema, Tobias and Artmann, Matthias and Platzner, Marco}},
  booktitle    = {{Design, Automation and Test in Europe (DATE)}},
  location     = {{Online}},
  title        = {{{MUSCAT: MUS-based Circuit Approximation Technique}}},
  year         = {{2022}},
}

@article{30012,
  abstract     = {{The growing demand for bandwidth and energy efficiency requires new solutions for signal detection and processing. We demonstrate a concept for high-bandwidth signal detection with low-speed photodetectors and electronics. The method is based on the parallel optical sampling of a high-bandwidth signal with sinc-pulse sequences provided by a Mach-Zehnder modulator. For the electronic detection and processing this parallel sampling enables to divide the high-bandwidth optical signal with the bandwidth B into N electrical signals with the baseband bandwidth of B/(2N) . In proof-of-concept experiments with N=3 , we present the detection of 24 GHz optical signals by detectors with a bandwidth of only 4 GHz. For ideal components, the sampling and bandwidth down-conversion does not add an excess error to the signals and even for the non-ideal components of our proof-of-concept setup, it is below 1%. Thus, the rms error for the measurement of the 24 GHz signal was reduced by a factor of about 3.4 and the effective number of bits were increased by 1.8.}},
  author       = {{Meier, Janosch and Singh, Karanveer and Misra, Arijit and Preussler, Stefan and Scheytt, Christoph and Schneider, Thomas}},
  issn         = {{1943-0655 }},
  journal      = {{IEEE Photonics Journal}},
  title        = {{{High-Bandwidth Arbitrary Signal Detection Using Low-Speed Electronics}}},
  doi          = {{10.1109/JPHOT.2022.3149389}},
  volume       = {{14}},
  year         = {{2022}},
}

@misc{30152,
  author       = {{Roopa, Rajanna}},
  title        = {{{Evaluation of Algorithms for the Node Capacitated Clique}}},
  year         = {{2022}},
}

@misc{30198,
  author       = {{Korzeczek, Sebastian}},
  title        = {{{Aufarbeitung und lmplementierung von DAG-Rider}}},
  year         = {{2022}},
}

@misc{30199,
  author       = {{Nachtigall, Marcel}},
  title        = {{{Hybrid Routing in Three Dimensions}}},
  year         = {{2022}},
}

@inproceedings{30236,
  abstract     = {{Recent reinforcement learning approaches for continuous control in wireless mobile networks have shown impressive
results. But due to the lack of open and compatible simulators, authors typically create their own simulation environments for training and evaluation. This is cumbersome and time-consuming for authors and limits reproducibility and comparability, ultimately impeding progress in the field.

To this end, we propose mobile-env, a simple and open platform for training, evaluating, and comparing reinforcement learning and conventional approaches for continuous control in mobile wireless networks. mobile-env is lightweight and implements the common OpenAI Gym interface and additional wrappers, which allows connecting virtually any single-agent or multi-agent reinforcement learning framework to the environment. While mobile-env provides sensible default values and can be used out of the box, it also has many configuration options and is easy to extend. We therefore believe mobile-env to be a valuable platform for driving meaningful progress in autonomous coordination of
wireless mobile networks.}},
  author       = {{Schneider, Stefan Balthasar and Werner, Stefan and Khalili, Ramin and Hecker, Artur and Karl, Holger}},
  booktitle    = {{IEEE/IFIP Network Operations and Management Symposium (NOMS)}},
  keywords     = {{wireless mobile networks, network management, continuous control, cognitive networks, autonomous coordination, reinforcement learning, gym environment, simulation, open source}},
  location     = {{Budapest}},
  publisher    = {{IEEE}},
  title        = {{{mobile-env: An Open Platform for Reinforcement Learning in Wireless Mobile Networks}}},
  year         = {{2022}},
}

@inbook{16296,
  abstract     = {{Multiobjective optimization plays an increasingly important role in modern
applications, where several objectives are often of equal importance. The task
in multiobjective optimization and multiobjective optimal control is therefore
to compute the set of optimal compromises (the Pareto set) between the
conflicting objectives. Since the Pareto set generally consists of an infinite
number of solutions, the computational effort can quickly become challenging
which is particularly problematic when the objectives are costly to evaluate as
is the case for models governed by partial differential equations (PDEs). To
decrease the numerical effort to an affordable amount, surrogate models can be
used to replace the expensive PDE evaluations. Existing multiobjective
optimization methods using model reduction are limited either to low parameter
dimensions or to few (ideally two) objectives. In this article, we present a
combination of the reduced basis model reduction method with a continuation
approach using inexact gradients. The resulting approach can handle an
arbitrary number of objectives while yielding a significant reduction in
computing time.}},
  author       = {{Banholzer, Stefan and Gebken, Bennet and Dellnitz, Michael and Peitz, Sebastian and Volkwein, Stefan}},
  booktitle    = {{Non-Smooth and Complementarity-Based Distributed Parameter Systems}},
  editor       = {{Michael, Hintermüller and Roland, Herzog and Christian, Kanzow and Michael, Ulbrich and Stefan, Ulbrich}},
  isbn         = {{978-3-030-79392-0}},
  pages        = {{43--76}},
  publisher    = {{Springer}},
  title        = {{{ROM-Based Multiobjective Optimization of Elliptic PDEs via Numerical Continuation}}},
  doi          = {{10.1007/978-3-030-79393-7_3}},
  year         = {{2022}},
}

@inbook{30294,
  abstract     = {{With the ever increasing capabilities of sensors and controllers, autonomous driving is quickly becoming a reality. This disruptive change in the automotive industry poses major challenges for manufacturers as well as suppliers as entirely new design and testing strategies have to be developed to remain competitive. Most importantly, the complexity of autonomously driving vehicles in a complex, uncertain, and safety-critical environment requires new testing procedures to cover the almost infinite range of potential scenarios.}},
  author       = {{Peitz, Sebastian and Dellnitz, Michael and Bannenberg, Sebastian}},
  booktitle    = {{German Success Stories in Industrial Mathematics}},
  editor       = {{Bock, H. G. and Küfer, K.-H. and Maas, P. and Milde, A. and Schulz, V.}},
  isbn         = {{9783030814540}},
  issn         = {{1612-3956}},
  publisher    = {{Springer International Publishing}},
  title        = {{{Efficient Virtual Design and Testing of Autonomous Vehicles}}},
  doi          = {{10.1007/978-3-030-81455-7_23}},
  volume       = {{35}},
  year         = {{2022}},
}

@inproceedings{30347,
  author       = {{Schafmeister, Frank}},
  booktitle    = {{International Conference on Electric & Electronic in Hybrid and Electric Vehicles and Electric Energy Management (EEHE),}},
  location     = {{Bamberg, Germany}},
  title        = {{{Compensation of LF Common-Mode Noise by the internal DC/DC-Stage for transformerless On-Board Chargers at Three- and Single-Phase Operation}}},
  year         = {{2022}},
}

@inproceedings{30349,
  author       = {{Förster, Nikolas and Rehlaender, Philipp and Wallscheid, Oliver and Schafmeister, Frank and Böcker, Joachim}},
  booktitle    = {{Proc. 37th IEEE Applied Power Electronics Conference (APEC)}},
  location     = {{Houston, TX, USA}},
  publisher    = {{IEEE}},
  title        = {{{An Open-Source Transistor Database and Toolbox as an Unified Software Engineering Tool for Managing and Evaluating Power Transistors}}},
  year         = {{2022}},
}

@inproceedings{30350,
  author       = {{Keuck, Lukas and Schafmeister, Frank and Böcker, Joachim}},
  booktitle    = {{Proc. IEEE International Exhibition and Conference for Power Electronics, Intelligent Motion, Renewable Energy and Energy Management (PCIM)}},
  location     = {{Nuremberg, Germany}},
  publisher    = {{IEEE}},
  title        = {{{Robust Hysteresis Control for LLC Resonant Converters Using a Fully Isolated Measurement Scheme}}},
  year         = {{2022}},
}

@inproceedings{30387,
  abstract     = {{Resonant evanescent coupling can be utilized to selectively excite orbital angular momentum (OAM) modes of high angular order supported by a thin circular dielectric rod. Our 2.5-D hybrid-analytical coupled mode model combines the vectorial fields associated with the fundamental TE- and TM-modes of a standard silicon photonics slab waveguide, propagating at oblique angles with respect to the rod axis, and the hybrid modes supported by the rod. One observes an efficient resonant interaction in cases where the common axial wavenumber of the waves in the slab matches the propagation constant of one or more modes of the rod. For certain modes of high angular order, the incident wave is able to transfer its directionality to the field in the fiber, exciting effectively only one of a pair of degenerate OAM modes}},
  author       = {{Hammer, Manfred and Ebers, Lena and Förstner, Jens}},
  booktitle    = {{Complex Light and Optical Forces XVI}},
  editor       = {{Andrews, David L. and Galvez, Enrique J. and Rubinsztein-Dunlop, Halina}},
  keywords     = {{tet_topic_waveguide}},
  pages        = {{120170F}},
  publisher    = {{SPIE}},
  title        = {{{Resonant evanescent excitation of OAM modes in a high-contrast circular step-index fiber}}},
  doi          = {{10.1117/12.2612179}},
  year         = {{2022}},
}

@article{30490,
  author       = {{Cresson, Jacky and Jiménez, Fernando and Ober-Blöbaum, Sina}},
  journal      = {{AIMS}},
  pages        = {{57--89}},
  title        = {{{Continuous and discrete Noether's fractional conserved quantities for restricted calculus of variations}}},
  volume       = {{14(1)}},
  year         = {{2022}},
}

@phdthesis{30722,
  abstract     = {{In dieser Arbeit wird die elektromagnetische Wellenausbreitung in integrierten optischen Wellenleitern mit Hilfe von halb analytischen und numerischen Simulationsmethoden untersucht. Im ersten Teil werden 2-D Si/SiO2-Wellenleiterkonfigurationen mit hohem Brechungsindexkontrast betrachtet. Die Strukturen werden mit halb geführten Wellen unter schrägen Ausbreitungswinkeln angeregt. Dadurch kann die Leistungsübertragung zu bestimmten ausgehenden Moden unterdrückt werden, wodurch vollständig verlustfreie Systeme entstehen. Zusätzlich dient die Anregung mit einem seitlich begrenzten, einfallenden Wellenbündel aus halb geführten Wellen dazu, praktisch relevantere 3-D Konfigurationen zu realisieren. Darüber hinaus wird eine schrittweise Winkelspektrum-Methode vorgestellt, die es ermöglicht, in Kombination mit voll vektoriellen 2-D Finite-Elemente-Lösungen für Teilprobleme mit geringerer Komplexität, die Wellenausbreitung in planaren, linsenförmigen Wellenleitern numerisch in drei Raumrichtungen zu berechnen. Im zweiten Teil dieser Arbeit wird die Ausbreitung in Wellenleiterstrukturen aus Lithiumniobat untersucht, welche für quantenoptische Effekte genutzt werden. Zur Detektion einzelner Photonen werden supraleitende Nanodrähte auf eindiffundierten Lithiumniobat Wellenleitern mit zusätzlicher Taperschicht aus Silizium betrachtet. Um die Wellenausbreitung in diesen 3-D Wellenleitern zu beschreiben, wird eine einseitig gerichtete Finite-Elemente „Modal Matching“ Methode eingeführt. Abschließend werden Rippenwellenleiter aus Lithiumniobat analysiert, die auf Siliziumdioxid Plattformen aufgebracht sind. Der Schwerpunkt liegt hier auf dem nichtlinearen „Parametric Down-Conversion“ Prozess, der für die Erzeugung verschränkter Photonen verwendet wird.}},
  author       = {{Ebers, Lena}},
  keywords     = {{tet_topic_waveguide}},
  title        = {{{Semi-guided waves in integrated optical waveguide structures}}},
  doi          = {{10.17619/UNIPB/1-1288}},
  year         = {{2022}},
}

@inbook{29950,
  author       = {{Temmen, Katrin and Kersten, Peter and Schäfer, Dominik}},
  booktitle    = {{Mobility for Smart Cities and Regional Development - Challenges for Higher Education}},
  isbn         = {{9783030939069}},
  issn         = {{2367-3370}},
  location     = {{Dresden}},
  pages        = {{784--791}},
  publisher    = {{Springer International Publishing}},
  title        = {{{Work-in-Progress: The Potential of Interactive Scripts – Supporting Conceptual Understanding and Collaborative Problem-Solving Skills}}},
  doi          = {{10.1007/978-3-030-93907-6_85}},
  volume       = {{390}},
  year         = {{2022}},
}

@inproceedings{30844,
  author       = {{Huber, Jonas and Wallmeier, Peter and Pieper, Ralf and Schafmeister, Frank and Kolar, Johann}},
  booktitle    = {{Proc. 9th IEEJ International Power Electronics Conference (IPEC)}},
  location     = {{Himeji, Japan}},
  publisher    = {{IEE Japan}},
  title        = {{{Comparative Evaluation of MVAC-LVDC SST and Hybrid Transformer Concepts for Future Datacenters}}},
  year         = {{2022}},
}

@article{30861,
  abstract     = {{<jats:title>Abstract</jats:title><jats:p>We consider the problem of maximization of metabolite production in bacterial cells formulated as a dynamical optimal control problem (DOCP). According to Pontryagin’s maximum principle, optimal solutions are concatenations of singular and bang arcs and exhibit the chattering or <jats:italic>Fuller</jats:italic> phenomenon, which is problematic for applications. To avoid chattering, we introduce a reduced model which is still biologically relevant and retains the important structural features of the original problem. Using a combination of analytical and numerical methods, we show that the singular arc is dominant in the studied DOCPs and exhibits the <jats:italic>turnpike</jats:italic> property. This property is further used in order to design simple and realistic suboptimal control strategies.</jats:p>}},
  author       = {{Caillau, Jean-Baptiste and Djema, Walid and Gouzé, Jean-Luc and Maslovskaya, Sofya and Pomet, Jean-Baptiste}},
  issn         = {{0022-3239}},
  journal      = {{Journal of Optimization Theory and Applications}},
  keywords     = {{Applied Mathematics, Management Science and Operations Research, Control and Optimization}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{Turnpike Property in Optimal Microbial Metabolite Production}}},
  doi          = {{10.1007/s10957-022-02023-0}},
  year         = {{2022}},
}

@unpublished{30868,
  abstract     = {{Algorithm configuration (AC) is concerned with the automated search of the
most suitable parameter configuration of a parametrized algorithm. There is
currently a wide variety of AC problem variants and methods proposed in the
literature. Existing reviews do not take into account all derivatives of the AC
problem, nor do they offer a complete classification scheme. To this end, we
introduce taxonomies to describe the AC problem and features of configuration
methods, respectively. We review existing AC literature within the lens of our
taxonomies, outline relevant design choices of configuration approaches,
contrast methods and problem variants against each other, and describe the
state of AC in industry. Finally, our review provides researchers and
practitioners with a look at future research directions in the field of AC.}},
  author       = {{Schede, Elias and Brandt, Jasmin and Tornede, Alexander and Wever, Marcel Dominik and Bengs, Viktor and Hüllermeier, Eyke and Tierney, Kevin}},
  booktitle    = {{arXiv:2202.01651}},
  title        = {{{A Survey of Methods for Automated Algorithm Configuration}}},
  year         = {{2022}},
}

@inproceedings{6590,
  author       = {{Nicolai, Marcel and Zeipert, Henning and Lugovtsova, Yevgeniya and Bulling, Jannis and Johannesmann, Sarah and Prager, Jens and Henning, Bernd}},
  booktitle    = {{Fortschritte der Akustik - DAGA 2022}},
  location     = {{Stuttgart}},
  pages        = {{1394--1397}},
  title        = {{{Quantification of the adhesive coupling of layered structures using guided ultrasonic waves}}},
  year         = {{2022}},
}