Add to ORKGalgorithm for non-negative least squares (NNLS). Also allows the combination of non-negative and non-positive constraints
Abstract The Nonnegative Least Squares (NNLS) formulation arises in many important regression proble...
National audienceThis article addresses least-squares minimization under sparsity and non-negativity...
SIGLEAvailable from British Library Document Supply Centre- DSC:D188226 / BLDSC - British Library Do...
In this work, we propose sequential non-negative least squares (S-NNLS), an efficient algorithm for ...
This document reviews the nonnegative least square (NNLS) optimisation problem and the usage of the ...
SIGLEAvailable from British Library Document Supply Centre- DSC:6029.319(NPL-DITC--168/90) / BLDSC -...
We study the fundamental problem of nonnegative least squares. This problem was apparently introduce...
We present an efficient algorithm for large-scale non-negative least-squares (NNLS). We solve NNLS b...
We study the fundamental problem of nonnegative least squares. This problem was apparently introduce...
Abstract—Due to the inherent physical characteristics of systems under investigation, non-negativity...
We discuss a new simple method to solve linear programming (LP) problems, based on the so called dua...
International audienceDue to the inherent physical characteristics of systems under investigation, n...
Adaptive least squares matching as a non-linear least squares optimization proble
Constrained least squares estimation lies at the heart of many applications in fields as diverse as ...
We study the sparse non-negative least squares (S-NNLS) problem. S-NNLS occurs naturally in a wide v...
Abstract The Nonnegative Least Squares (NNLS) formulation arises in many important regression proble...
National audienceThis article addresses least-squares minimization under sparsity and non-negativity...
SIGLEAvailable from British Library Document Supply Centre- DSC:D188226 / BLDSC - British Library Do...
In this work, we propose sequential non-negative least squares (S-NNLS), an efficient algorithm for ...
This document reviews the nonnegative least square (NNLS) optimisation problem and the usage of the ...
SIGLEAvailable from British Library Document Supply Centre- DSC:6029.319(NPL-DITC--168/90) / BLDSC -...
We study the fundamental problem of nonnegative least squares. This problem was apparently introduce...
We present an efficient algorithm for large-scale non-negative least-squares (NNLS). We solve NNLS b...
We study the fundamental problem of nonnegative least squares. This problem was apparently introduce...
Abstract—Due to the inherent physical characteristics of systems under investigation, non-negativity...
We discuss a new simple method to solve linear programming (LP) problems, based on the so called dua...
International audienceDue to the inherent physical characteristics of systems under investigation, n...
Adaptive least squares matching as a non-linear least squares optimization proble
Constrained least squares estimation lies at the heart of many applications in fields as diverse as ...
We study the sparse non-negative least squares (S-NNLS) problem. S-NNLS occurs naturally in a wide v...
Abstract The Nonnegative Least Squares (NNLS) formulation arises in many important regression proble...
National audienceThis article addresses least-squares minimization under sparsity and non-negativity...
SIGLEAvailable from British Library Document Supply Centre- DSC:D188226 / BLDSC - British Library Do...