Zobrazeno 1 - 10
of 14 520
pro vyhledávání: '"Linn, P"'
Growing planets interact with their surrounding protoplanetary disk, generating feedback effects that may promote or suppress nearby planet formation. We study how spiral waves launched by planets affect the motion and collisional evolution of partic
Externí odkaz:
http://arxiv.org/abs/2411.11742
For certain values of the wave speed parameter, evolution equations for the temperature of a region of fuel admit traveling wave solutions describing fire fronts. We consider such a system in the form of a nonlinear reaction-diffusion equation with a
Externí odkaz:
http://arxiv.org/abs/2410.19824
Autor:
Evjemo, Linn Danielsen, Zhang, Qin, Alvheim, Hanne-Grete, Amundsen, Herman Biørn, Føre, Martin, Kelasidi, Eleni
The significant growth in the aquaculture industry over the last few decades encourages new technological and robotic solutions to help improve the efficiency and safety of production. In sea-based farming of Atlantic salmon in Norway, Unmanned Under
Externí odkaz:
http://arxiv.org/abs/2409.15069
Publikováno v:
Proc. Appl. Math. Mech. (2024) e202400142
In the context of developing new vehicle concepts, especially autonomous vehicles with novel seating arrangements and occupant activities, predicting occupant motion can be a tool for ensuring safety and comfort. In this study, a data-driven surrogat
Externí odkaz:
http://arxiv.org/abs/2409.17163
In wildfires, atmospheric turbulence plays a major role in the transfer of turbulent kinetic energy. Understanding how turbulence feeds back into a dynamical system is important, down to the varying small scales of fuel structures (i.e. pine needles,
Externí odkaz:
http://arxiv.org/abs/2409.06047
Vorticity is a key characteristic of flow patterns that determine wildland fire behavior, frontal evolution, and wind-canopy interaction. Investigating the role of vorticity in the flow fields around vegetation can help us better understand fire-atmo
Externí odkaz:
http://arxiv.org/abs/2409.06044
Autor:
Linn, Samantha, Lawley, Sean D
Cover times quantify the speed of exhaustive search. In this work, we compute exactly the mean cover time associated with a one-dimensional Brownian search under exponentially distributed resetting. We also approximate the moments of cover times of a
Externí odkaz:
http://arxiv.org/abs/2406.12154
We introduce an efficient computational framework for solving a class of multi-marginal martingale optimal transport problems, which includes many robust pricing problems of large financial interest. Such problems are typically computationally challe
Externí odkaz:
http://arxiv.org/abs/2406.09959
Using Large Language Models for Humanitarian Frontline Negotiation: Opportunities and Considerations
Autor:
Ma, Zilin, Susannah, Su, Zhao, Nathan, Bieske, Linn, Bullwinkel, Blake, Zhang, Yanyi, Sophia, Yang, Luo, Ziqing, Li, Siyao, Liao, Gekai, Wang, Boxiang, Gao, Jinglun, Wen, Zihan, Bruderlein, Claude, Pan, Weiwei
Humanitarian negotiations in conflict zones, called \emph{frontline negotiation}, are often highly adversarial, complex, and high-risk. Several best-practices have emerged over the years that help negotiators extract insights from large datasets to n
Externí odkaz:
http://arxiv.org/abs/2405.20195
Autor:
Hernandez, Robert, Carothers, Linn
The following is a write up of the progress of modeling data from the K12 organization \cite{Riedman_2023}. Data was characterized and investigated for statistically significant factors. The incident data was spilt into three sets: the entire set of
Externí odkaz:
http://arxiv.org/abs/2405.18271