Sparse grid

Known as: Sparse Grids 
Sparse grids are numerical techniques to represent, integrate or interpolate high dimensional functions. They were originally developed by the… (More)
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Topic mentions per year

Topic mentions per year

1992-2018
020406019922018

Papers overview

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Highly Cited
2012
Highly Cited
2012
In this paper, a novel nonlinear filter named Sparse-grid Quadrature Filter (SGQF) is proposed. The filter utilizes weighted… (More)
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Highly Cited
2009
Highly Cited
2009
In recent years, there has been a growing interest in analyzing and quantifying the effects of random inputs in the solution of… (More)
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Highly Cited
2008
Highly Cited
2008
This work proposes and analyzes an anisotropic sparse grid stochastic collocation method for solving partial differential… (More)
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Highly Cited
2008
Highly Cited
2008
This work proposes and analyzes a Smolyak-type sparse grid stochastic collocation method for the approximation of statistical… (More)
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Highly Cited
2007
Highly Cited
2007
In recent years, there has been an interest in analyzing and quantifying the effects of random inputs in the solution of partial… (More)
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Review
2004
Review
2004
We present a survey of the fundamentals and the applications of sparse grids, with a focus on the solution of partial… (More)
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Highly Cited
2000
Highly Cited
2000
We study polynomial interpolation on a d-dimensional cube, where d is large. We suggest to use the least solution at sparse grids… (More)
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Review
1998
Review
1998
We present new and review existing algorithms for the numerical integration of multivariate functions defined over d-dimensional… (More)
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1997
1997
This paper investigates the application of statistical pattern recognition methods in the framework of the Dynamic Link Matching… (More)
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Highly Cited
1992
Highly Cited
1992
Two-dimensional sparse grids contain only O(h ?1 log(h ?1)) grid points, in contrast to the usually used full O(h ?2)-grids… (More)
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