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pro vyhledávání: '"Hug P"'
Barthe, Schechtman and Schmuckenschl\"ager proved that the cube maximizes the mean width of symmetric convex bodies whose John ellipsoid (maximal volume ellipsoid contained in the body) is the Euclidean unit ball, and the regular crosspolytope minimi
Externí odkaz:
http://arxiv.org/abs/2410.11460
Autor:
Bühler, Tillmann, Hug, Daniel
In recent years there has been a lot of interest in the study of isometry invariant Poisson processes of $k$-flats in $d$-dimensional hyperbolic space $\mathbb{H}^d$, for $0\le k\le d-1$. A phenomenon that has no counterpart in euclidean geometry ari
Externí odkaz:
http://arxiv.org/abs/2410.10413
Autor:
Scheibler, S., Wei, H., Ackers, J., Helbig, S., Koraltan, S., Peremadathil-Pradeep, R., Krupiński, M., Graeser, M., Suess, D., Herrmann, I. K., Hug, H. J.
Magnetic nanoparticle-based hyperthermia has emerged as a promising therapeutic modality for treating malignant solid tumors that exhibit resistance to conventional cancer treatments, including chemotherapy and radiation. Despite the clinical approva
Externí odkaz:
http://arxiv.org/abs/2408.10377
The union of the particles of a stationary Poisson process of compact (convex) sets in Euclidean space is called Boolean model and is a classical topic of stochastic geometry. In this paper, Boolean models in hyperbolic space are considered, where on
Externí odkaz:
http://arxiv.org/abs/2408.03890
Continuous-Time Simultaneous Localization And Mapping (CTSLAM) has become a promising approach for fusing asynchronous and multi-modal sensor suites. Unlike discrete-time SLAM, which estimates poses discretely, CTSLAM uses continuous-time motion para
Externí odkaz:
http://arxiv.org/abs/2407.07074
The integration of experiment technologies with large language models (LLMs) is transforming scientific research, offering AI capabilities beyond specialized problem-solving to becoming research assistants for human scientists. In power systems, simu
Externí odkaz:
http://arxiv.org/abs/2406.17215
Coordinate transformations significantly simplify power systems computations. Most notably, the classical Clarke and dq0 transformations are widely used in three-phase systems, as together they transform balanced abc quantities into constant-valued s
Externí odkaz:
http://arxiv.org/abs/2406.15106
This two-part tutorial dives into the field of data-driven power flow linearization (DPFL), a domain gaining increased attention. DPFL stands out for its higher approximation accuracy, wide adaptability, and better ability to implicitly incorporate t
Externí odkaz:
http://arxiv.org/abs/2407.02501
Building on the theoretical insights of Part I, this paper, as the second part of the tutorial, dives deeper into data-driven power flow linearization (DPFL), focusing on comprehensive numerical testing. The necessity of these simulations stems from
Externí odkaz:
http://arxiv.org/abs/2406.06833
The flexibilities provided by the distributed energy resources (DERs) in distribution systems enable the coordination of transmission system operator (TSO) and distribution system operators (DSOs). At the distribution level, the flexibilities should
Externí odkaz:
http://arxiv.org/abs/2404.14386