Moving least-squares corrections for smoothed particle hydrodynamics [PDF]
First-order moving least-squares are typically used in conjunction with smoothed particle hydrodynamics in the form of post-processing filters for density fields, to smooth out noise that develops in most applications of smoothed particle hydrodynamics ...
Ciro Del Negro +3 more
doaj +7 more sources
Convergence rate for the moving least-squares learning with dependent sampling [PDF]
We consider the moving least-squares (MLS) method by the regression learning framework under the assumption that the sampling process satisfies the α-mixing condition.
Qin Guo, Peixin Ye
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Joint Demosaicing and Denoising Based on Interchannel Nonlocal Mean Weighted Moving Least Squares Method [PDF]
Nowadays, the sizes of pixel sensors in digital cameras are decreasing as the resolution of the image sensor increases. Due to the decreased size, the pixel sensors receive less light energy, which makes it more sensitive to thermal noise.
Yeahwon Kim +3 more
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The Recovery of Weak Impulsive Signals Based on Stochastic Resonance and Moving Least Squares Fitting [PDF]
In this paper a stochastic resonance (SR)-based method for recovering weak impulsive signals is developed for quantitative diagnosis of faults in rotating machinery.
Kuosheng Jiang +4 more
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Stable Moving Least-Squares [PDF]
Local polynomial fitting in a least squares sense is a common technique in scattered data approximation. However, some known error bounds indicate that the error may become rather large for certain configurations of the given data points. In this paper, the author proves that these bounds are indeed realistic and proposes a modified technique, called ...
Yaron Lipman, Lipman, Yaron
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Electrothermal Actuator Performance Analysis via the Moving Least Square Method [PDF]
This paper presents a case study demonstrating the use of the moving least square method (MLS) for modeling the mechanical response of an electrothermal microactuator.
Yuanhu Gu +4 more
doaj +2 more sources
Moving least-squares are Backus-Gilbert optimal [PDF]
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
BOS, LEONARD PETER, SALKAUKSAS K.
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Error analysis of a least squares pseudo-derivative moving least squares method [PDF]
Meshfree methods offer the potential to relieve the scientist from the time consuming grid generation process especially in cases where localized mesh refinement is desired. Moving least squares (MLS) methods are considered such a meshfree technique.
Clack, Jhules +2 more
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Analysis of moving least squares approximation revisited
Journal of Computational and Applied Mathematics, 2015 Journal of Computational and Applied ...
Davoud Mirzaei
exaly +5 more sources
The approximation power of moving least-squares [PDF]
A general method for near-best approximations to functionals on R d \
David Levin
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