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Non-negative least squares

Known as: NNLS, Nonnegative least squares 
In mathematical optimization, the problem of non-negative least squares (NNLS) is a constrained version of the least squares problem where the… 
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Papers overview

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2018
2018
The Darboux transformation (DT) method is studied in a lot of local equations, but there are few of work to solve nonlocal… 
2014
2014
In chemistry and many other scientific disciplines, non‐negativity‐constrained estimation of models is of practical importance… 
2014
2014
Sparse coding is an active research subject in signal processing, computer vision, and pattern recognition. A novel method of… 
2013
2013
  • 2013
  • Corpus ID: 145044318
Unmixing problems in many areas such as hyperspectral imaging and differential optical absorption spectroscopy (DOAS) often… 
2012
2012
Introduction Many studies have demonstrated that brain imaging measures are under considerable genetic control [2]. While there… 
2011
2011
We parallelize a version of the active-set iterative algorithm derived from the original works of Lawson and Hanson (1974) on… 
2010
2010
Due to the popularity of nonnegative matrix factorization and the increasing availability of massive data sets, researchers are… 
2009
2009
A new method is proposed for the problem of solving chi-square minimization with a positive solution. This method is embodied in… 
2005
2005
This report contributes to the solution of non-negative least squares problem (NLS). The NLS problem is a substantial part of a… 
2004
2004
This paper presents an algorithm for abundance estimation in hyperspectral imagery. The fully constrained abundance estimation…