Results 71 to 80 of about 471,211 (145)
Convergence analysis of a class of iterative methods: a unified approach
In this paper, we study the convergence of a class of iterative methods for solving the system of nonlinear Banach space valued equations. We provide a unified local and semi-local convergence analysis for these methods.
Muniyasamy Murugan +4 more
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The local convergence analysis of a two-step vectorial method of accelerators with order five has been shown previously. But the convergence order five is obtained using Taylor series and assumptions on the existence of at least the fifth derivative of ...
Ioannis K. Argyros +4 more
doaj +1 more source
Generalized Convergence for Multi-Step Schemes under Weak Conditions
We have developed a local convergence analysis for a general scheme of high-order convergence, aiming to solve equations in Banach spaces. A priori estimates are developed based on the error distances.
Ramandeep Behl +3 more
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A semi-local analysis of Newton's method for solving nonlinear inclusion problems in Banach space is presented in this paper. Under a affine majorant condition on the nonlinear function which is associated to the inclusion problem, the robust convergence of the method and results on the convergence rate are established.
openaire +3 more sources
Multistep methods typically use Taylor series to attain their convergence order, which necessitates the existence of derivatives not naturally present in the iterative functions. Other issues are the absence of a priori error estimates, information about
Ioannis K. Argyros +3 more
doaj +1 more source
In this paper, we study a general high-order iterative method for solving nonlinear systems in Banach spaces without requiring higher-order derivatives. The proposed method constructs each iteration by combining evaluations of the operator and its derivative, together with an adapted correction scheme.
Ioannis K. Argyros +4 more
openaire +1 more source
Secure aggregation for semi-decentralized federated learning under heterogeneous data
Semi-decentralized federated learning has gained attention for combining the advantages of centralized and decentralized approaches, thereby enhancing system scalability and flexibility. However, in the open heterogeneous federated learning architecture,
HUANG Mei +4 more
doaj
Extensions to Extended Tight-Binding Methods for Transition-Metal Containing Systems. [PDF]
Moradi S +3 more
europepmc +1 more source
Enhancing breast magnetic resonance imaging segmentation with a federated semi-supervised approach. [PDF]
Zheng B, Hou J, Zheng Z, Ma H.
europepmc +1 more source
A Partitioned Finite Difference Method for Heat Transfer with Moving Line and Plane Heat Sources. [PDF]
Li J, Jiang Y.
europepmc +1 more source

