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Local convergence

Known as: Global convergence, Locally convergent 
In numerical analysis, an iterative method is called locally convergent if the successive approximations produced by the method are guaranteed to… 
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Related topics

Related topics

6 relations
ApproximationGauss–Newton algorithmIterative methodList of numerical analysis topics

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2000
Highly Cited
2000
A Robust Algorithm for Optimization with General Equality and Inequality Constraints
An algorithm for general nonlinearly constrained optimization is presented, which solves an unconstrained piecewise quadratic… 
Highly Cited
2000
Highly Cited
2000
Regulation of a nonholonomic dynamic wheeled mobile robot with parametric modeling uncertainty using Lyapunov functions
Addresses the problem of regulating the dynamic model of a nonholonomic wheeled robot of the unicycle type to a point with a… 
Highly Cited
1999
Highly Cited
1999
Stabilization of a nonlinear underactuated hovercraft
We consider the control of a hovercraft, having only two control inputs with three degrees of freedom. The model is obtained from… 
Highly Cited
1999
Highly Cited
1999
Nonlinear programming algorithms using trust regions and augmented Lagrangians with nonmonotone penalty parameters
The strategy for obtaining global convergence is based on the trust region approach. The merit function is a type of augmented… 
Highly Cited
1999
Highly Cited
1999
A Regularized Smoothing Newton Method for Box Constrained Variational Inequality Problems with P0-Functions
Based on Qi, Sun, and Zhou's smoothing Newton method, we propose a regularized smoothing Newton method for the box constrained… 
Highly Cited
1996
Highly Cited
1996
Robust process simulation using interval methods
Highly Cited
1992
Highly Cited
1992
On the (non)existence of undesirable equilibria of Godard blind equalizers
Existing results in the literature have proved that particular blind equalization algorithms, including Godard algorithms, are… 
1983
1983
Towards a globally stable direct adaptive control scheme for not necessarily minimum phase systems
A direct adaptive control scheme for not necessarily minimum phase systems is presented. The algorithm is based on simultaneous… 
Highly Cited
1982
Highly Cited
1982
Some properties of the output error method
Highly Cited
1982
Highly Cited
1982
Stochastic adaptive control using a modified least squares algorithm
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