High order family of multivariate iterative methods: Convergence and stability
Journal of Computational and Applied Mathematics, 2022•Elsevier
In this manuscript, we design an efficient sixth-order scheme for solving nonlinear systems of
equations, with only two steps in its iterative expression. Moreover, it belongs to a new
parametric class of methods whose order of convergence is, at least, four. In this family, the
most stable members have been selected by using techniques of real multidimensional
dynamics; also, some members with undesirable chaotic behavior have been found and
rejected for practical purposes. Finally, all these high-order schemes have been numerically …
equations, with only two steps in its iterative expression. Moreover, it belongs to a new
parametric class of methods whose order of convergence is, at least, four. In this family, the
most stable members have been selected by using techniques of real multidimensional
dynamics; also, some members with undesirable chaotic behavior have been found and
rejected for practical purposes. Finally, all these high-order schemes have been numerically …
Abstract
In this manuscript, we design an efficient sixth-order scheme for solving nonlinear systems of equations, with only two steps in its iterative expression. Moreover, it belongs to a new parametric class of methods whose order of convergence is, at least, four. In this family, the most stable members have been selected by using techniques of real multidimensional dynamics; also, some members with undesirable chaotic behavior have been found and rejected for practical purposes. Finally, all these high-order schemes have been numerically checked and compared with other existing procedures of the same order of convergence, showing good and stable performance.
Elsevier
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