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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… 
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Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2017
2017
We show how to use simple 2.5D maps of buildings and recent advances in image segmentation and machine learning to geo-localize… 
2016
2016
  • 2016
  • Corpus ID: 273035
The stochastic collocation method for solving differential equations with random inputs has gained lots of popularity in many… 
2013
2013
Mathematical models of physical systems often contain parameters with an imprecisely known and uncertain character. It is quite… 
2013
2013
A multivariate, robust, rational interpolation method for propagating uncertainties in several dimensions is presented. The… 
2013
2013
The advantage of grid-based clustering method is its fast processing speed. The speed of clustering algorithm and the number of… 
2007
2007
Automatic or semi-automatic segmentation of anatomical structures in three-dimensional datasets is still an ambitious challenge… 
2007
2007
We introduce the optimised sparse grid combination technique for the numerical solution of d ‐dimensional eigenproblems on sparse… 
2005
2005
We investigate the suitability of sparse grids for solving high-dimensional option pricing and interest rate models numerically… 
2000
2000
Differential SAR interferometry is a recent and powerful tool to measure small motions of the terrain; the available measurements… 
1995
1995
This paper is concerned with the stability of splittings of sparse grid spaces arising in the discretization of partial…