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A GEOMETRY-BASED ITERATIVE ALGORITHM FOR FINDING THE APPROXIMATE SOLUTIONS OF SYSTEMS OF NONLINEAR..

This work presents a new iterative method for locating approximate solutions to nonlinear equation systems. A root-finding technique is devised and connected with Jacobi and Gauss-Seidel procedures with the goal of solving nonlinear systems based on some geometric considerations. On various examples, the numerical prediction powers of this iterative process are addressed and discussed.

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