Zobrazeno 1 - 10
of 192
pro vyhledávání: '"LIERS, FRAUKE"'
Autor:
Wagner, Friedrich, Liers, Frauke
Motivated by recent progress in quantum hardware and algorithms researchers have developed quantum heuristics for optimization problems, aiming for advantages over classical methods. To date, quantum hardware is still error-prone and limited in size
Externí odkaz:
http://arxiv.org/abs/2412.15665
Quantum computation promises to advance a wide range of computational tasks. However, current quantum hardware suffers from noise and is too small for error correction. Thus, accurately utilizing noisy quantum computers strongly relies on noise chara
Externí odkaz:
http://arxiv.org/abs/2401.06423
Autor:
Kreuz, Sebastian, Zubiri, Benjamin Apeleo, Englisch, Silvan, Kang, Sung-Gyu, Ramachandramoorthy, Rajaprakash, Spiecker, Erdmann, Liers, Frauke, Rolfes, Jan
Compressed sensing is an image reconstruction technique to achieve high-quality results from limited amount of data. In order to achieve this, it utilizes prior knowledge about the samples that shall be reconstructed. Focusing on image reconstruction
Externí odkaz:
http://arxiv.org/abs/2312.05592
Advancements in mathematical programming have made it possible to efficiently tackle large-scale real-world problems that were deemed intractable just a few decades ago. However, provably optimal solutions may not be accepted due to the perception of
Externí odkaz:
http://arxiv.org/abs/2308.08309
Autor:
Kuchlbauer, Martina, Dienstbier, Jana, Muneer, Adeel, Hedges, Hanna, Stingl, Michael, Liers, Frauke, Pflug, Lukas
In this work, we propose a robust optimization approach to mitigate the impact of uncertainties in particle precipitation. Our model incorporates partial differential equations, more particular nonlinear and nonlocal population balance equations to d
Externí odkaz:
http://arxiv.org/abs/2306.15432
Autor:
Lüer, Larry, Peters, Marius, Smith, Ana Sunčana, Dorschky, Eva, Eskofier, Bjoern M., Liers, Frauke, Franke, Jörg, Sjarov, Martin, Brossog, Mathias, Guldi, Dirk, Maier, Andreas, Brabec, Christoph J.
The recent successes of emerging photovoltaics (PV) such as organic and perovskite solar cells are largely driven by innovations in material science. However, closing the gap to commercialization still requires significant innovation to match contrad
Externí odkaz:
http://arxiv.org/abs/2305.07573
Autor:
Aigner, Kevin-Martin, Bärmann, Andreas, Braun, Kristin, Liers, Frauke, Pokutta, Sebastian, Schneider, Oskar, Sharma, Kartikey, Tschuppik, Sebastian
Stochastic Optimization (SO) is a classical approach for optimization under uncertainty that typically requires knowledge about the probability distribution of uncertain parameters. As the latter is often unknown, Distributionally Robust Optimization
Externí odkaz:
http://arxiv.org/abs/2304.05377
Autor:
Adelhütte, Dennis, Liers, Frauke
Gamma uncertainty sets have been introduced for adjusting the degree of conservatism of robust counterparts of (discrete) linear programs. The contribution of this paper is a generalization of this approach to (mixed integer) nonlinear optimization p
Externí odkaz:
http://arxiv.org/abs/2304.01688
Enhancing Quantum Algorithms for Quadratic Unconstrained Binary Optimization via Integer Programming
To date, research in quantum computation promises potential for outperforming classical heuristics in combinatorial optimization. However, when aiming at provable optimality, one has to rely on classical exact methods like integer programming. State-
Externí odkaz:
http://arxiv.org/abs/2302.05493
In this work, we present algorithmically tractable safe approximations of distributionally robust optimization (DRO) problems. The considered ambiguity sets can exploit information on moments as well as confidence sets. Typically, reformulation appro
Externí odkaz:
http://arxiv.org/abs/2301.11185