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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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Related topics

Related topics

14 relations
Active set methodConstrained optimizationConvex optimizationCoordinate descent

Broader (1)

Least squares

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2014
2014
Distance algorithm based procedure for non‐negative least squares
In chemistry and many other scientific disciplines, non‐negativity‐constrained estimation of models is of practical importance… 
2013
2013
NON-NEGATIVE LEAST SQUARES PROBLEMS WITH APPLICATIONS
  • 2013
  • Corpus ID: 145044318
Unmixing problems in many areas such as hyperspectral imaging and differential optical absorption spectroscopy (DOAS) often… 
2012
2012
Heritability estimation by non-negative least squares for fMRI data
Introduction Many studies have demonstrated that brain imaging measures are under considerable genetic control [2]. While there… 
2012
2012
A new Kernel non-negative matrix factorization and its application in microarray data analysis
Non-negative factorization (NMF) has been a popular machine learning method for analyzing microarray data. Kernel approaches can… 
2011
2011
EFFICIENT PARALLEL NON-NEGATIVE LEAST SQUARES ON MULTI-CORE ARCHITECTURES
We parallelize a version of the active-set iterative algorithm derived from the original works of Lawson and Hanson (1974) on… 
2010
2010
Large-Scale Matrix Factorization Using MapReduce
Due to the popularity of nonnegative matrix factorization and the increasing availability of massive data sets, researchers are… 
2009
2009
RESEARCH NOTE FROM COLLABORATION: NNLC: non-negative least chi-square minimization and application to HPGe detectors
A new method is proposed for the problem of solving chi-square minimization with a positive solution. This method is embodied in… 
2006
2006
A New Projected Quasi-Newton Approach for the Nonnegative Least Squares Problem
Constrained least squares estimation lies at the heart of many applications in fields as diverse as statistics, psychometrics… 
2005
2005
Sequential Coordinate-wise Algorithm for Non-negative Least Squares Problem
This report contributes to the solution of non-negative least squares problem (NLS). The NLS problem is a substantial part of a… 
2004
2004
Solving adundance estimation in hyperspectral unmixing as a least distance problem
This paper presents an algorithm for abundance estimation in hyperspectral imagery. The fully constrained abundance estimation… 
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