Data-driven learning-based optimization for distribution system state estimation
Distribution system state estimation (DSSE) is a core task for monitoring and control of
distribution networks. Widely used algorithms such as Gauss-Newton perform poorly with …
distribution networks. Widely used algorithms such as Gauss-Newton perform poorly with …
[图书][B] The theory and applications of iteration methods
IK Argyros - 2022 - taylorfrancis.com
The theory and applications of Iteration Methods is a very fast-developing field of numerical
analysis and computer methods. The second edition is completely updated and continues to …
analysis and computer methods. The second edition is completely updated and continues to …
[引用][C] Numerical methods for equations and its appli-cations
IK Argyros - 2012 - books.google.com
This book introduces advanced numerical-functional analysis to beginning computer
science researchers. The reader is assumed to have had basic courses in numerical …
science researchers. The reader is assumed to have had basic courses in numerical …
[HTML][HTML] A robust semi-local convergence analysis of Newton's method for cone inclusion problems in Banach spaces under affine invariant majorant condition
OP Ferreira - Journal of Computational and Applied Mathematics, 2015 - Elsevier
A semi-local analysis of Newton's method for solving nonlinear inclusion problems in
Banach space is presented in this paper. Under an affine majorant condition on the …
Banach space is presented in this paper. Under an affine majorant condition on the …
Extended Newton methods for multiobjective optimization: majorizing function technique and convergence analysis
We consider the extended Newton method for approaching a Pareto optimum of a
multiobjective optimization problem, establish quadratic convergence criteria, and estimate …
multiobjective optimization problem, establish quadratic convergence criteria, and estimate …
Kantorovich's theorem on Newton's method for solving generalized equations under the majorant condition
GN Silva - Applied Mathematics and Computation, 2016 - Elsevier
In this paper we consider a version of the Kantorovich's theorem for solving the generalized
equation F (x)+ T (x)∋ 0, where F is a Fréchet derivative function and T is a set-valued and …
equation F (x)+ T (x)∋ 0, where F is a Fréchet derivative function and T is a set-valued and …
On a unified convergence analysis for Newton-type methods solving generalized equations with the Aubin property
IK Argyros, S George - Journal of Complexity, 2024 - Elsevier
A plethora of applications from diverse disciplines reduce to solving generalized equations
involving Banach space valued operators. These equations are solved mostly iteratively …
involving Banach space valued operators. These equations are solved mostly iteratively …
[HTML][HTML] Local convergence analysis of the Gauss–Newton method under a majorant condition
The Gauss–Newton method for solving nonlinear least squares problems is studied in this
paper. Under the hypothesis that the derivative of the function associated with the least …
paper. Under the hypothesis that the derivative of the function associated with the least …
[HTML][HTML] Improved local convergence of Newton's method under weak majorant condition
IK Argyros, S Hilout - Journal of Computational and Applied Mathematics, 2012 - Elsevier
We provide a local convergence analysis for Newton's method under a weak majorant
condition in a Banach space setting. Our results provide under the same information a larger …
condition in a Banach space setting. Our results provide under the same information a larger …
Local convergence of Newton's method under a majorant condition in Riemannian manifolds
OP Ferreira, RCM Silva - IMA Journal of Numerical Analysis, 2012 - academic.oup.com
A local convergence analysis of Newton's method for finding a singularity of a differentiable
vector field defined on a complete Riemannian manifold, based on the majorant principle, is …
vector field defined on a complete Riemannian manifold, based on the majorant principle, is …