How to solve nonlinear equations when a third order method is not applicable (Q1293246)
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scientific article; zbMATH DE number 1309452
| Language | Label | Description | Also known as |
|---|---|---|---|
| English | How to solve nonlinear equations when a third order method is not applicable |
scientific article; zbMATH DE number 1309452 |
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How to solve nonlinear equations when a third order method is not applicable (English)
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3 January 2002
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For the solution of an equation \(F(x)=0\) involving a nonlinear operator \(F\) between Banach spaces \(X\), \(Y\), the authors consider the family of iterative methods \[ x_{n+1} = x_n - \big[ I + \tfrac{1}{2}L(x_n)[I - L(x_n)]^{-1} \big] \Gamma_n F(x_n),\quad n = 1,2,\dots , \] where \(\Gamma_n = F'(x_n)^{-1}\), \(L(x_n) = \Gamma_n A \Gamma_n F(x_n)\), and \(A\) represents a fixed bilinear operator between \(X\) and \(Y\). By means of a standard majorizing technique, second-order convergence of the method is proved under conditions of Newton-Kantorovich type and corresponding error bounds are given. Several numerical examples are included.
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nonlinear operator equation
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Banach space
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second-order process
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majorizing sequence
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error bound
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Newton-Kantorovich assumption
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iterative methods
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convergence
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numerical examples
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