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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.
2018
2018
N-Fold Darboux Transformation for the Nonlocal Nonlinear Schrödinger (NNLS) Equation with the Self-Induced PT-Symmetric Potential
The Darboux transformation (DT) method is studied in a lot of local equations, but there are few of work to solve nonlocal… 
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… 
2014
2014
Facial Expression Recognition via Non-Negative Least-Squares Sparse Coding
Sparse coding is an active research subject in signal processing, computer vision, and pattern recognition. A novel method of… 
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… 
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
On the rate of convergence of the image space reconstruction algorithm
The Image Space Reconstruction Algorithm (ISRA) of Daube–Witherspoon and Muehllehner is a multiplicative algorithm for solving… 
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… 
2002
2002
ADAPTIVE CRITIC DESIGN BASED NEUROCONTROLLERS FOR TURBOGENERATOR CONTROL
Nonlinear non-stationary large scale (NNLS) systems such as power system networks, telecommunication networks, financial and… 
1999
1999
Measurement and analysis of nonexponential signal decay curves in brain diffusion and muscle relaxation magnetic resonance studies in humans
Detailed measurement and analysis of two important processes in magnetic resonance imaging (MRI) are described. The processes of… 
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