Asymptotic Inversion of the Erlang B Formula [PDF]
SIAM Journal on Applied Mathematics, 2009 The Erlang B formula represents the steady-state blocking probability in the Erlang loss model or M/M/s/s queue. We derive asymptotic expansions for the offered load that matches, for a given number of servers, a certain blocking probability. In addressing this inversion problem we make use of various asymptotic expansions for the incomplete gamma ...
J S H Van Leeuwaarden, N M Temme
exaly +5 more sources
A New Clustering Method Based on the Inversion Formula
Mathematics, 2022 Data clustering is one area of data mining that falls into the data mining class of unsupervised learning. Cluster analysis divides data into different classes by discovering the internal structure of data set objects and their relationship.
Mantas Lukauskas, Tomas Ruzgas
doaj +4 more sources
The jacobi inversion formula [PDF]
Complex Variables, Theory and Application: An International Journal, 1999 15 ...
Koekoek, J., Koekoek, R.
openaire +3 more sources
Reduced Clustering Method Based on the Inversion Formula Density Estimation
Mathematics, 2023 Unsupervised learning is one type of machine learning with an exceptionally high number of applications in various fields. The most popular and best-known group of unsupervised machine learning methods is clustering methods.
Mantas Lukauskas, Tomas Ruzgas
doaj +2 more sources
Integrated Methane Inversion (IMI 1.0): a user-friendly, cloud-based facility for inferring high-resolution methane emissions from TROPOMI satellite observations [PDF]
Geoscientific Model Development, 2022 We present a user-friendly, cloud-based facility for quantifying methane emissions with 0.25∘ × 0.3125∘ (≈ 25 km × 25 km) resolution by inverse analysis of satellite observations from the TROPOspheric Monitoring Instrument (TROPOMI).
D. J. Varon +14 more
doaj +1 more source
Local Convergence of the Continuous and Semi-Discrete Wavelet Transform in
Mathematics, 2021 The smoothness of functions f in the space Lp(R) with ...
Jaime Navarro-Fuentes +2 more
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On Quantum Representation of the Linear Canonical Wavelet Transform
Universe, 2022 For the efficient identification of quantum states, we propose the notion of linear canonical wavelet transform in the framework of quantum mechanics.
H. M. Srivastava +2 more
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Estimated regional CO2 flux and uncertainty based on an ensemble of atmospheric CO2 inversions [PDF]
Atmospheric Chemistry and Physics, 2022 Global and regional sources and sinks of carbon across the earth's surface have been studied extensively using atmospheric carbon dioxide (CO2) observations and atmospheric chemistry-transport model (ACTM) simulations (top-down/inversion method). However,
N. Chandra +13 more
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Heavy-light bootstrap from Lorentzian inversion formula
Journal of High Energy Physics, 2020 We study heavy-light four-point function by employing Lorentzian inversion formula, where the conformal dimension of heavy operator is as large as central charge C T → ∞.
Yue-Zhou Li
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Why do inverse models disagree? A case study with two European CO2 inversions [PDF]
Atmospheric Chemistry and Physics, 2023 We present an analysis of atmospheric transport impact on estimating CO2 fluxes using two atmospheric inversion systems (CarboScope-Regional (CSR) and Lund University Modular Inversion Algorithm (LUMIA)) over Europe in 2018.
S. Munassar +9 more
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