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Interpolative decomposition

In numerical analysis interpolative decomposition (ID) factors a matrix as the product of two matrices, one of which contains selected columns from… 
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Related topics

Related topics

2 relations
Numerical analysis

Broader (1)

Numerical linear algebra

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2018
2018
Low-Rank, Multi-Fidelity Methods for Uncertainty Quantification of High-Dimensional Systems
2016
2016
A fast algorithm for volume integral equation using interpolative decomposition and multilevel fast multipole algorithm
The fast algorithm which combines interpolative decomposition (ID) and the multilevel fast multipole algorithm (MLFMA) is… 
2016
2016
Fast solution of linear systems with many right hand sides using MPI parallel interpolative decomposition
The interpolative decomposition (ID) has been employed to find the skeleton excitations for the applications where many incidents… 
2015
2015
Algunas consideraciones sobre la condictio en Aristón
espanolEn el marco de una serie de estudios referentes a la condictio, se aborda en el presente trabajo el ambito de aplicacion… 
2014
2014
Application of Interpolative Decomposition to FE-BI-MLFMA for Fast Computation of Monostatic Scattering from 3-D Complex Composite Objects
Interpolative decomposition (ID) algorithm is applied to the hybrid finite element-boundary integral-multilevel fast multipole… 
2013
2013
Preconditioning Technique in the Interpolative Decomposition Multilevel Fast Multipole Algorithm
The potential of the interpolative decomposition multilevel fast multipole algorithm (ID-MLFMA) on developing an effective… 
2013
2013
HIERARCHICAL INTERPOLATIVE DECOMPOSITION MULTILEVEL FAST MULTIPOLE ALGORITHM FOR DYNAMIC ELECTROMAGNETIC SIMULATIONS
A hierarchical interpolative decomposition multilevel fast multipole algorithm (ID-MLFMA) is proposed to handle multiscale… 
2013
2013
On Rank Reduction of Separated Representations
2012
2012
A cognitively inspired rule-plus-exemplar framework for interpretable pattern classification
While the generalizability of classifiers receive much attention in research, interpretability is often neglected. This paper… 
2009
2009
Affine Modeling for the Complexity of Vector Quantizers
We use a scalar function Θ to describe the complexity of data compression systems based on vector quantizers (VQs). This function… 
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