Adaptively Regularized Bases-Expansion Subspace Optimization Methods for Electrical Impedance Tomography
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Biomedical Engineering"
DOI: 10.1109/tbme.2022.3161526
Abstract: Objective: In this work, to deal with the difficulties in choosing regularization weighting parameters and low spatial resolution problems in difference electrical impedance tomography (EIT), we propose two adaptively regularized bases-expansion subspace optimization methods (AR-BE-SOMs).… read more here.
Keywords: electrical impedance; regularization; impedance tomography; adaptively regularized ... See more keywords
Convergence Analysis of an Adaptively Regularized Natural Gradient Method
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Signal Processing"
DOI: 10.1109/tsp.2024.3398496
Abstract: In this paper, we study the convergence properties of the natural gradient methods. By reviewing the mathematical condition for the equivalence between the Fisher information matrix and the generalized Gauss-Newton matrix, as well as the… read more here.
Keywords: convergence; natural gradient; gradient method; adaptively regularized ... See more keywords
An adaptively regularized sequential quadratic programming method for equality constrained optimization
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Industrial and Management Optimization"
DOI: 10.3934/jimo.2019075
Abstract: In this paper, we devise an adaptively regularized SQP method for equality constrained optimization problem that is resilient to constraint degeneracy, with a relatively small departure from classical SQP method. The main feature of our… read more here.
Keywords: optimization; method; adaptively regularized; method equality ... See more keywords