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Least squares approximations of measures via geometric condition numbers
Gilad Lerman
, J. Tyler Whitehouse
School of Mathematics
Research output
:
Contribution to journal
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Article
›
peer-review
4
Scopus citations
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Keyphrases
Least Squares Approximation
100%
Geometric Conditions
100%
Least Square Error
100%
Approximation Measure
100%
Affine Subspaces
66%
Geometric Properties
33%
Decomposition Method
33%
Monte Carlo
33%
Probability Measure
33%
Squared Distance
33%
Volume-based
33%
Volume Sampling
33%
Simplex
33%
Singular Value Decomposition
33%
Double Integral
33%
Separable Hilbert Space
33%
Multivariate Functions
33%
Distance between Points
33%
Mathematics
Least Square
100%
Least Squares Approximation
100%
Square Error
100%
Affine Subspace
66%
Variance
33%
Probability Measure
33%
Singular Value Decomposition
33%
Simplex
33%
Distance between Point
33%
Monte Carlo
33%
Separable Hilbert Space
33%
Multivariate Functions
33%