
The article deals with Newton-like approximations \[ x_{n+1} = x_n - A(x_n)^{-1}(F(x_n) + G(x_n)), \quad n = 0,1,2,\ldots,\tag{1} \] to a nonlinear operator equation \[ F(x) + G(x) = 0 \] with a Fréchet differentiable operator \(F\) and a continuous operator \(G\); here \(A(x)\) are linear operators with the invertible \(A(x_0)\). In particular, in special cases, these approximations are reduced to usual and modified Newton-Kantorovich ones, some modifications of two-step approximations, Halley and Chebyshev-like approximations, and so on. Under different assumptions on \(F\), \(G\) and \(A\), the authors construct scalar majorants for approximations (1) and study their convergence. As a result they obtain some conditions for the convergence of approximations (1). In the end of the article the authors consider special cases and some illustrative numerical examples.
Statistics and Probability, numerical examples, Numerical Analysis, Banach space, Algebra and Number Theory, Control and Optimization, Majorizing sequences, Numerical solutions to equations with nonlinear operators, Applied Mathematics, nonlinear operator equation, semi-local convergence, Semi-local convergence, Iterative procedures involving nonlinear operators, Newton-like methods, majorizing sequences
Statistics and Probability, numerical examples, Numerical Analysis, Banach space, Algebra and Number Theory, Control and Optimization, Majorizing sequences, Numerical solutions to equations with nonlinear operators, Applied Mathematics, nonlinear operator equation, semi-local convergence, Semi-local convergence, Iterative procedures involving nonlinear operators, Newton-like methods, majorizing sequences
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