Skip to search formSkip to main contentSkip to account menu

Moving least squares

Moving least squares is a method of reconstructing continuous functions from a set of unorganized point samples via the calculation of a weighted… 
Wikipedia (opens in a new tab)

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2010
2010
Modern simulation and measurement methods tend to produce meshfree data sets if modeling of processes or objects with free… 
2010
2010
rst derivative of the Taylor reconstruction. Unfortunately, the straightforward application of slope limiters to higher-order… 
2009
2009
During the past two decades, there has been an increasing demand for medical image registration. Deformable image registration… 
2007
2007
. In this paper we focus on two methods for multivariate approximation problems with non-uniformly distributed noisy data. The… 
2007
2007
In this paper,a novel numerical solution method,moving least squares (MLS),is employed to solve the problem of nonlinear… 
2007
2007
Image morphing has received much attention in recent years. It has proven to be a powerful tool for visual effects in film and… 
2006
2006
The Element-free Galerkin Method has become a very popular tool for the simulation of mechanical problems with moving boundaries… 
2004
2004
We describe two experiments recently conducted with the approximate moving least squares (MLS) approximation method. On the one… 
2002
2002
For multivariate problems with many scattered data locations the use of radial functions has proven to be advantageous. However… 
1999
1999
We show that the Dirichlet–Gabor wavelet‐distributed approximating functional (DAF) can be derived from the same variational…