Results 11 to 20 of about 3,900,571 (293)

A residual based A POSTERIORI error estimator for an augmented mixed finite element method in linear elasticity [PDF]

open access: yes, 2005
In this paper we develop a residual based a posteriori error analysis for an augmented mixed finite element method applied to the problem of linear elasticity in the plane. More precisely, we derive a reliable and efficient a posteriori error estimator
Heuer, N   +16 more
core   +7 more sources

Maximum norm a posteriori error estimate for a 2d singularly perturbed semilinear reaction-diffusion problem [PDF]

open access: yes, 2008
A singularly perturbed semilinear reaction-diffusion equation, posed in the unit square, is discretized on arbitrary nonuniform tensor-product meshes. We establish a second-order maximum norm a posteriori error estimate that holds true uniformly in the ...
Kopteva, Natalia
core   +4 more sources

Error report for Joel et al. (2017)

open access: yes
Joel, Eastwick, & Finkel (2017) "Is Romantic Desire Predictable? Machine Learning Applied to Initial Romantic Attraction" was determined to contain Minor Errors that do not affect the core conclusions of the manuscript.
ERROR
core   +6 more sources

Error file

open access: yes, 2023
<p>Error file</p ...
Error file, Error file
core   +1 more source

Method for calculating the resistance of an asynchronous squirrel cage motor according to passport data and estimation of its error

open access: yesВестник Самарского государственного технического университета. Серия: Технические науки, 2021
A simpler method is proposed for determining the resistances of an induction motor (total inductive resistance, active resistance of the stator and reduced active resistance of the rotor) according to reference data.
Viktor I. Kotenev, Alexander D. Stulov
doaj   +1 more source

Robust Relative Error Estimation [PDF]

open access: yesEntropy, 2018
Relative error estimation has been recently used in regression analysis. A crucial issue of the existing relative error estimation procedures is that they are sensitive to outliers. To address this issue, we employ the γ -likelihood function, which is constructed through γ -cross entropy with keeping the original statistical model in use. The
Kei Hirose, Hiroki Masuda
openaire   +5 more sources

Video Sensing of Nearshore Bathymetry Evolution with Error Estimate

open access: yesJournal of Marine Science and Engineering, 2019
Although coastal morphology results essentially from underwater sediment transports, the evolution of underwater beach profiles along the diverse coastlines of the world is still poorly documented.
Duong Hai Thuan   +3 more
doaj   +1 more source

Model Selection and Error Estimation [PDF]

open access: yesMachine Learning, 2000
We study model selection strategies based on penalized empirical loss minimization. We point out a tight relationship between error estimation and data-based complexity penalization: any good error estimate may be converted into a data-based penalty function and the performance of the estimate is governed by the quality of the error estimate.
Peter L. Bartlett   +2 more
openaire   +7 more sources

Truncation error estimation for Newton–Cotes quadrature formulas

open access: yesLietuvos Matematikos Rinkinys, 2004
Theoretical and practical aspects of truncation error estimation for Newton–Cotes quadrature formulas are discussed in this paper.
Kostas Plukas, Danutė Plukienė
doaj   +1 more source

Muon capture on deuteron using local chiral potentials

open access: yesFrontiers in Physics, 2023
The muon capture reaction μ− + d → n + n + νμ in the doublet hyperfine state is studied using nuclear potentials and consistent currents derived in the chiral effective field theory, which are local and expressed in coordinate space (the so-called ...
L. Ceccarelli   +6 more
doaj   +1 more source

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