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   Articles with "constrained linear" as a keyword



On the structure of the set of active sets in constrained linear quadratic regulation

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recommendations! Published in 2019 at "Automatica"

DOI: 10.1016/j.automatica.2019.04.017

Abstract: The constrained linear quadratic regulation problem is solved by a continuous piecewise affine function on a set of state space polytopes. It is an obvious question whether this solution can be built up iteratively by… read more here.

Keywords: structure set; linear quadratic; active sets; horizon ... See more keywords

Experimental validation of D parameter model for droplet sizing using off-axis lidar measurements.

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recommendations! Published in 2019 at "Applied optics"

DOI: 10.1364/ao.58.006949

Abstract: Information about the size distribution of liquid droplets in a fog can be retrieved by measuring the backscattering lidar depolarization parameter D in circular polarization. Using a polarimetric off-axis lidar, measurements at different backscattering angles… read more here.

Keywords: lidar measurements; parameter; droplet; axis lidar ... See more keywords

A matrix approach to determine optimal predictors in a constrained linear mixed model

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recommendations! Published in 2024 at "Open Mathematics"

DOI: 10.1515/math-2024-0114

Abstract: Abstract For a general vector of all unknown vectors in a constrained linear mixed model (CLMM), this study compared the dispersion matrices of the best linear unbiased predictors with any symmetric matrix for determining the… read more here.

Keywords: constrained linear; matrix; matrix approach; linear mixed ... See more keywords

GM(1, 1;λ) with Constrained Linear Least Squares

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recommendations! Published in 2021 at "Axioms"

DOI: 10.3390/axioms10040278

Abstract: The only parameters of the original GM(1,1) that are generally estimated by the ordinary least squares method are the development coefficient a and the grey input b. However, the weight of the background value, denoted… read more here.

Keywords: linear least; constrained linear; least squares;

An Entropic Approach to Constrained Linear Regression

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recommendations! Published in 2025 at "Mathematics"

DOI: 10.3390/math13030456

Abstract: We introduce a novel entropy minimization approach for the solution of constrained linear regression problems. Rather than minimizing the quadratic error, our method minimizes the Fermi–Dirac entropy, with the problem data incorporated as constraints. In… read more here.

Keywords: constrained linear; approach constrained; entropic approach; regression ... See more keywords