Detection of DLBCL by pixel purity index and iterative linearly constrained minimum variance into hyperspectral imaging analysis
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Biophotonics"
DOI: 10.1002/jbio.202200143
Abstract: It is unclear whether a hyperspectral imaging‐based approach can facilitate the diagnosis of diffuse large B‐cell lymphoma (DLBCL), and further investigation is required. In this study, the pixel purity index (PPI) coupled with iterative linearly… read more here.
Keywords: purity index; linearly constrained; iterative linearly; hyperspectral imaging ... See more keywords
An Alternating Trust Region Algorithm for Distributed Linearly Constrained Nonlinear Programs, Application to the Optimal Power Flow Problem
Sign Up to like & getrecommendations! Published in 2017 at "Journal of Optimization Theory and Applications"
DOI: 10.1007/s10957-015-0853-2
Abstract: A novel trust region method for solving linearly constrained nonlinear programs is presented. The proposed technique is amenable to a distributed implementation, as its salient ingredient is an alternating projected gradient sweep in place of the Cauchy… read more here.
Keywords: nonlinear programs; linearly constrained; trust region; optimal power ... See more keywords
Random Block Coordinate Descent Methods for Linearly Constrained Optimization over Networks
Sign Up to like & getrecommendations! Published in 2017 at "Journal of Optimization Theory and Applications"
DOI: 10.1007/s10957-016-1058-z
Abstract: In this paper we develop random block coordinate descent methods for minimizing large-scale linearly constrained convex problems over networks. Since coupled constraints appear in the problem, we devise an algorithm that updates in parallel at… read more here.
Keywords: linearly constrained; descent methods; coordinate descent; random block ... See more keywords
Robust Kalman Smoothers With Linear Equality Constraints
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Control Systems Letters"
DOI: 10.1109/lcsys.2021.3122456
Abstract: It is well known that the Kalman filter (KF) performance is clearly degraded in real-life applications where the system model is misspecified to a certain extent, that is, when the assumed knowledge does not perfectly… read more here.
Keywords: robust kalman; linearly constrained; equality constraints; linear equality ... See more keywords