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Quadratic convergence of monotone iterates for semilinear elliptic obstacle problems [PDF]

open access: yesJournal of Inequalities and Applications, 2017
In this paper, we consider the numerical solution for the discretization of semilinear elliptic complementarity problems. A monotone algorithm is established based on the upper and lower solutions of the problem.
Jinping Zeng, Haowen Chen, Hongru Xu
doaj   +2 more sources

Exponential Convergence Bounds using Integral Quadratic Constraints [PDF]

open access: yes2015 54th IEEE Conference on Decision and Control (CDC), 2015
The theory of integral quadratic constraints (IQCs) allows verification of stability and gain-bound properties of systems containing nonlinear or uncertain elements.
Boczar, Ross   +2 more
core   +2 more sources

Towards efficient solutions: A novel approach to quadratic nonlinearity in boundary value problems. [PDF]

open access: yesPLoS ONE
The Newton method is a classical method for solving systems of nonlinear equations and offers quadratic convergence. The order of convergence of the Newton method is optimal as it requires one evaluation for the system of nonlinear equations and the ...
Salima Kouser   +5 more
doaj   +2 more sources

Caputo-Fabrizio approach to numerical fractional derivatives

open access: yesBibechana, 2023
Fractional calculus is an essential tool in every area of science today. This work gives the quadratic interpolation-based L1-2 formula for the Caputo-Fabrizio derivative, a numerical technique for approximating the fractional derivative.
Shankar Pariyar, Jeevan Kafle
doaj   +3 more sources

Computational Approach for a Singularly Perturbed Differential Equations With Mixed Shifts Using a Non-Polynomial Spline

open access: yesInternational Journal of Analysis and Applications, 2023
In this paper, a second order singularly perturbed differential difference equation with both the negative and positive shifts is considered. A fitted non-polynomial spline approach is applied to solve the problem.
Kumar Ragula   +2 more
doaj   +1 more source

A variant of the Levenberg-Marquardt method with adaptive parameters for systems of nonlinear equations

open access: yesAIMS Mathematics, 2022
The Levenberg-Marquardt method is one of the most important methods for solving systems of nonlinear equations and nonlinear least-squares problems. It enjoys a quadratic convergence rate under the local error bound condition.
Lin Zheng, Liang Chen, Yanfang Ma
doaj   +1 more source

The parameter-Newton iteration for the second-order cone linear complementarity problem

open access: yesElectronic Research Archive, 2022
In this paper, we propose the parameter-Newton (PN) method to solve the second-order linear complementarity problem (SOCLCP). The key idea of PN method is that we transfer the SOCLCP into a system of nonlinear equations by bringing in a parameter.
Peng Zhou, Teng Wang
doaj   +1 more source

Power Flow Solution in Bipolar DC Networks Considering a Neutral Wire and Unbalanced Loads: A Hyperbolic Approximation

open access: yesAlgorithms, 2022
This paper addresses the problem of the power flow analysis of bipolar direct current (DC) networks considering unbalanced loads and the effect of a neutral wire, which may be solidly grounded or non-grounded.
Simón Sepúlveda-García   +2 more
doaj   +1 more source

On the Convergence Rate of Quasi-Newton Methods on Strongly Convex Functions with Lipschitz Gradient

open access: yesMathematics, 2023
The main results of the study of the convergence rate of quasi-Newton minimization methods were obtained under the assumption that the method operates in the region of the extremum of the function, where there is a stable quadratic representation of the ...
Vladimir Krutikov   +3 more
doaj   +1 more source

Adaptive Optimal Control With Guaranteed Convergence Rate for Continuous-Time Linear Systems With Completely Unknown Dynamics

open access: yesIEEE Access, 2019
The traditional linear quadratic optimal control can be summarized as finding the state feedback controller so that the closed-loop system is stable and the performance index is minimum.
Kai Zhang, Suo-Liang Ge
doaj   +1 more source

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