This paper is devoted
to a new iterative method for finding the approximate solutions of systems of
nonlinear equations. Based on some geometric considerations, a root-finding
algorithm applied to a single equation is developed and coupled with Jacobi and
Gauss-Seidel procedures with the aim of solving nonlinear systems. The
numerical predictive abilities of this iterative method are addressed and
discussed on some examples.
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