Zobrazeno 1 - 10
of 3 640
pro vyhledávání: '"A. Hoheisel"'
Autor:
A. Hoheisel, M. Schmidt
Publikováno v:
Atmospheric Chemistry and Physics, Vol 24, Pp 2951-2969 (2024)
Mitigation of greenhouse gases requires a precise knowledge of their sources at both global and regional scales. With improving measurement techniques, in situ δ(13C,CH4) records are analysed in a growing number of studies to characterise methane em
Externí odkaz:
https://doaj.org/article/2a656faab16449aeb6f82d9504e960c2
Publikováno v:
Atmospheric Measurement Techniques, Vol 16, Pp 2399-2413 (2023)
The CO, CO2 and CH4 mole fractions have been measured since 2002 at the Environmental Research Station Schneefernerhaus, which is located approximately 300 m below the summit of Zugspitze in the German Alps. Although the station is located remotely a
Externí odkaz:
https://doaj.org/article/8b5ec4b96a664f749268d25526f916d2
In this paper we prove the existence of H\"{o}lder continuous terminal embeddings of any desired $X \subseteq \mathbb{R}^d$ into $\mathbb{R}^{m}$ with $m=\mathcal{O}(\varepsilon^{-2}\omega(S_X)^2)$, for arbitrarily small distortion $\varepsilon$, whe
Externí odkaz:
http://arxiv.org/abs/2408.02812
Publikováno v:
Atmospheric Measurement Techniques, Vol 12, Pp 1123-1139 (2019)
The carbon isotopic signature (δ13CH4) of several methane sources in Germany (around Heidelberg and in North Rhine-Westphalia) were characterised. Mobile measurements of the plume of CH4 sources are carried out using an analyser based on cavity ring
Externí odkaz:
https://doaj.org/article/88e09e2e2afd481fa8b67821d4272c19
Publikováno v:
Proceedings of the 40th International Conference on Machine Learning, Honolulu, Hawaii, USA. PMLR 202, 2023
Minimizing the difference of two submodular (DS) functions is a problem that naturally occurs in various machine learning problems. Although it is well known that a DS problem can be equivalently formulated as the minimization of the difference of tw
Externí odkaz:
http://arxiv.org/abs/2305.11046
This paper studies well-posedness and parameter sensitivity of the Square Root LASSO (SR-LASSO), an optimization model for recovering sparse solutions to linear inverse problems in finite dimension. An advantage of the SR-LASSO (e.g., over the standa
Externí odkaz:
http://arxiv.org/abs/2303.15588
We explore a method of statistical estimation called Maximum Entropy on the Mean (MEM) which is based on an information-driven criterion that quantifies the compliance of a given point with a reference prior probability measure. At the core of this a
Externí odkaz:
http://arxiv.org/abs/2211.05205
Autor:
Hoheisel, Tim, Paquette, Elliot
In this paper we establish necessary and sufficient conditions for the existence of line segments (or flats) in the sphere of the nuclear norm via the notion of simultaneous polarization and a refined expression for the subdifferential of the nuclear
Externí odkaz:
http://arxiv.org/abs/2205.08442
This paper provides a variational analysis of the unconstrained formulation of the LASSO problem, ubiquitous in statistical learning, signal processing, and inverse problems. In particular, we establish smoothness results for the optimal value as wel
Externí odkaz:
http://arxiv.org/abs/2205.06872
Publikováno v:
In International Journal of Pharmaceutics 5 September 2024 662