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Discrete least squares meshless method

Known as: DLSM, Discrete least squares meshless 
The discrete least squares meshless (DLSM) method is a newly introduced meshless method based on the least squares concept. The method is based on… Expand
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Related topics

Related topics

4 relations
Ivo BabuškaLeast squaresList of numerical analysis topicsMeshfree methods

Papers overview

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2017
2017
Optimum two-dimensional crack modeling in discrete least-squares meshless method by charged system search algorithm
In this paper, a node adaptive rearrangement is presented based on the estimated error in various domains for some problems in… Expand
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2017
2017
Mixed discrete least squares meshless method for solving the linear and non-linear propagation problems
A Mixed formulation of Discrete Least Squares Meshless (MDLSM) as a truly meshfree method is presented in this paper for solving… Expand
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2016
2016
Re-enabling high-speed caching for LSM-trees
LSM-tree has been widely used in cloud computing systems by Google, Facebook, and Amazon, to achieve high performance for write… Expand
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2014
2014
Error estimate and adaptive refinement in mixed discrete least squares meshless method
The node moving and multistage node enrichment adaptive refinement procedures are extended in mixed discrete least squares… Expand
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2013
2013
Learning dictionary on manifolds for image classification
At present, dictionary based models have been widely used in image classification. The image features are approximated as a… Expand
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2011
2011
Validation study of the distinct lattice spring model (DLSM) on P-wave propagation across multiple parallel joints
A validation study of the distinct lattice spring model (DLSM) for wave propagation problems is performed. DLSM is a… Expand
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2009
2009
An error indicator for two-dimensional elasticity problems in the discrete least squares meshless method
An error indicator of the discrete least squares method (DLSM) for 2D elastostatic problems is presented. In the DLSM, the… Expand
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2009
2009
Fast least-squares migration with a deblurring filter
Least-squares migration (LSM) is a linearized waveform inversion for estimating a subsurface reflectivity model that, relative to… Expand
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2006
2006
Two new approaches for assessing the weights of fuzzy opinions in group decision analysis
The aggregation of fuzzy opinions is an important component of group decision analysis with fuzzy information. This paper… Expand
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Highly Cited
2000
Highly Cited
2000
Parametric adaptive matched filter for airborne radar applications
The parametric adaptive matched filter (PAMF) for space-time adaptive processing (STAP) is introduced via the matched filter (MF… Expand
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