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Linear least squares (mathematics)

Known as: Constrained regression, Constrained linear least squares, Normal equations 
In statistics and mathematics, linear least squares is an approach fitting a mathematical or statistical model to data in cases where the idealized… 
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Papers overview

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Highly Cited
2010
Highly Cited
2010
We propose a unified data modeling approach that is equally applicable to supervised regression and classification applications… 
2004
2004
We describe a method to determine automatically the relative three dimensional positions of multiple microphones using at least… 
2000
2000
A novel procedure for segmenting a set of scattered 3D data obtained from a head and shoulders multiview sequence is presented… 
1994
1994
An optimal method (OM) for estimation of the parameters of rational transfer functions from prescribed impulse response data is… 
Highly Cited
1986
Highly Cited
1986
This report forms the user's guide for Version 1.0 of LSSOL, a set of Fortran 77 subroutines for linearly constrained linear… 
Highly Cited
1985
Highly Cited
1985
A new smoothness priors long AR model method approach is taken to the short data span spectral estimation problem. An… 
1985
1985
In this paper we consider a novel technique for the restoration of noise corrupted images, using order-constrained least squares… 
1977
1977
This paper presents a theoretical analysis and computational technique for constrained least squares image restoration using…