Inexact Newton methods for solving nonsmooth equations
Proceedings of the international meeting on Linear/nonlinear iterative methods and verification of solution
Complexity and real computation
Complexity and real computation
Convergence and Complexity of Newton Iteration for Operator Equations
Journal of the ACM (JACM)
Convergence behaviour of inexact Newton methods
Mathematics of Computation
Numerical Methods for Unconstrained Optimization and Nonlinear Equations (Classics in Applied Mathematics, 16)
The convergence analysis of inexact Gauss---Newton methods for nonlinear problems
Computational Optimization and Applications
A Unifying Local Convergence Result for Newton's Method in Riemannian Manifolds
Foundations of Computational Mathematics
Kantorovich's majorants principle for Newton's method
Computational Optimization and Applications
Convergence behaviour of inexact Newton methods under weak Lipschitz condition
Journal of Computational and Applied Mathematics
Local convergence of Newton's method under majorant condition
Journal of Computational and Applied Mathematics
Local convergence analysis of the Gauss-Newton method under a majorant condition
Journal of Complexity
Improved local convergence of Newton's method under weak majorant condition
Journal of Computational and Applied Mathematics
Local convergence analysis of inexact Gauss-Newton like methods under majorant condition
Journal of Computational and Applied Mathematics
Computers & Mathematics with Applications
Convergence analysis of the modified Newton-HSS method under the Hölder continuous condition
Journal of Computational and Applied Mathematics
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We present a local convergence analysis of inexact Newton-like methods for solving nonlinear equations under majorant conditions. This analysis provides an estimate of the convergence radius and a clear relationship between the majorant function, which relaxes the Lipschitz continuity of the derivative, and the nonlinear operator under consideration. It also allow us to obtain some important special cases.