Results 11 to 20 of about 333,021 (254)
Constrained curve fitting [PDF]
Nuclear Physics B - Proceedings Supplements, 2002 Lattice2001(plenary); plenary talk given by G.P. Lepage at Lattice 2001 (Berlin); 9 pages, 5 figures (postscript specials)
Lepage, G.P. +6 more
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Journal of Advanced Transportation, 2021 Due to the complexity of the operation control of urban rail transit and diversity requirements for section running time standards, based on actual train operation data, this paper proposes a curve fitting method to find the interrelation between running
Lianbo Deng +3 more
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Models for COVID-19 Daily Confirmed Cases in Different Countries
Mathematics, 2021 In this paper, daily confirmed cases of COVID-19 in different countries are modelled using different mathematical regression models. The curve fitting is used as a prediction tool for modeling both past and upcoming coronavirus waves.
Hamdy M. Ahmed +3 more
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Functional Curve Fitting Algorithm via Multi-Heterogeneous Data Curve
IEEE Access, 2017 Complex computing based on multi-heterogeneous parameters can utilize the Lebesgue measure to measure their linear and non-linear relations in infinite dimensional Hilbert space, which can characterize those different dimensional characteristics in a set
Laixin Shen +3 more
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The Mittag-Leffler Fitting of the Phillips Curve
Mathematics, 2019 In this paper, a mathematical model based on the one-parameter Mittag-Leffler function is proposed to be used for the first time to describe the relation between the unemployment rate and the inflation rate, also known as the Phillips curve. The Phillips
Tomas Skovranek
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Neural-Network-Based Curve Fitting Using Totally Positive Rational Bases
Mathematics, 2020 This paper proposes a method for learning the process of curve fitting through a general class of totally positive rational bases. The approximation is achieved by finding suitable weights and control points to fit the given set of data points using a ...
Rocio Gonzalez-Diaz +3 more
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Spectral curve fitting of dielectric constants
AIP Advances, 2017 Optical constants are important properties governing the response of a material to incident light. It follows that they are often extracted from spectra measured by absorbance, transmittance or reflectance.
M. Ruzi, C. Ennis, E. G. Robertson
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Sicegar: R package for sigmoidal and double-sigmoidal curve fitting [PDF]
PeerJ, 2018 Sigmoidal and double-sigmoidal dynamics are commonly observed in many areas of biology. Here we present sicegar, an R package for the automated fitting and classification of sigmoidal and double-sigmoidal data.
M. Umut Caglar +2 more
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Equivariant adjusted least squares estimator in two-line fitting model
Modern Stochastics: Theory and Applications, 2016 We consider the two-line fitting problem. True points lie on two straight lines and are observed with Gaussian perturbations. For each observed point, it is not known on which line the corresponding true point lies.
Sergiy Shklyar
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Is the Best Fitting Curve Always Unique?
Journal of Mathematics, 2013 Fitting straight lines and simple curved objects (circles, ellipses, etc.) to observed data points is a basic task in computer vision and modern statistics (errors-in-variables regression). We have investigated the problem of existence of the best fit in
N. Chernov, Q. Huang, H. Ma
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