Skip to search form
Skip to main content
Skip to account menu
Semantic Scholar
Semantic Scholar's Logo
Search 225,317,655 papers from all fields of science
Search
Sign In
Create Free Account
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…
Expand
Wikipedia
(opens in a new tab)
Create Alert
Alert
Related topics
Related topics
6 relations
Clenshaw–Curtis quadrature
Curse of dimensionality
List of numerical analysis topics
Low-discrepancy sequence
Expand
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2016
2016
Distributed compressed sensing based joint detection and tracking for multistatic radar system
Jing Liu
,
Feng Lian
,
M. Mallick
Information Sciences
2016
Corpus ID: 7195628
2015
2015
Impact of response variability on Pareto front optimization
Jessica L. Chapman
,
Lu Lu
,
C. Anderson‐Cook
Statistical analysis and data mining
2015
Corpus ID: 206455377
A two‐stage Pareto front approach can improve the process of making a decision about which input values simultaneously optimize…
Expand
2015
2015
Performance of cubature formulae in probabilistic model analysis and optimization
F. Bernardo
Journal of Computational and Applied Mathematics
2015
Corpus ID: 44782069
2014
2014
Fast Discrete Fourier Transform on Generalized Sparse Grids
M. Griebel
,
J. Hamaekers
2014
Corpus ID: 8380969
In this paper, we present an algorithm for trigonometric interpolation of multivariate functions on generalized sparse grids and…
Expand
2013
2013
Iterative Solvers for a Spectral Galerkin Approach to Elliptic Partial Differential Equations with Fuzzy Coefficients
S. Corveleyn
,
Eveline Rosseel
,
S. Vandewalle
SIAM Journal on Scientific Computing
2013
Corpus ID: 18937151
Mathematical models of physical systems often contain parameters with an imprecisely known and uncertain character. It is quite…
Expand
2009
2009
Fitting multidimensional data using gradient penalties and the sparse grid combination technique
J. Garcke
,
M. Hegland
Computing
2009
Corpus ID: 12906344
Sparse grids, combined with gradient penalties provide an attractive tool for regularised least squares fitting. It has earlier…
Expand
2007
2007
Central East Pacific Flight Scheduling
S. Grabbe
,
B. Sridhar
,
A. Mukherjee
2007
Corpus ID: 2486724
*† ‡ This paper examines the implications of strategically scheduling flights on user-preferred routes in the Central East…
Expand
Review
2001
Review
2001
Velocity-Interface Structure of the Southwestern Ryukyu Subduction Zone from EW9509-1 OBS/MCS Data
T. Wang
,
K. Mcintosh
,
Yosio Nakamura
,
Char‐Shine Liu
,
H. Chen
2001
Corpus ID: 55529060
A wide-angle seismic survey, combining ocean-bottom seismometers (OBS) and multi-channel seismic (MCS) profiling, was implemented…
Expand
2000
2000
Measuring Subsidence with SAR Interferometry: Applications of the Permanent Scatterers Technique
A. Ferretti
,
C. Prati
,
F. Rocca
2000
Corpus ID: 14183777
Differential SAR interferometry is a recent and powerful tool to measure small motions of the terrain; the available measurements…
Expand
1999
1999
Fast Algorithms for Periodic Spline Wavelets on Sparse Grids
K. Bittner
SIAM Journal on Scientific Computing
1999
Corpus ID: 14224357
We consider Boolean sums of univariate interpolation operators which define multivariate jth order blending interpolation…
Expand
By clicking accept or continuing to use the site, you agree to the terms outlined in our
Privacy Policy
(opens in a new tab)
,
Terms of Service
(opens in a new tab)
, and
Dataset License
(opens in a new tab)
ACCEPT & CONTINUE