Methods with Successive and Parallel Approximations of Inverse Operator for the Nonlinear Least Squares Problem
Abstract
For solving the nonlinear least-square problem, we propose iterative methods that use successive and parallel approximations of the inverse operator instead of solving a linear system of equations. The convergence order as well as the convergence radius of the proposed methods are studied. Finally, we carry out numerical experiments on a set of test problems.
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