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Multidimensional Real Dynamics for High-Order Processes

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Finite Difference Methods. Theory and Applications (FDM 2018)

Abstract

In this manuscript, we design a parametric family of iterative methods for solving nonlinear problems, that does not need to evaluate Jacobian matrices and needs to solve three linear systems per iteration with the same divided difference operator as coefficient matrix. The stability performance of the class is analyzed on a quadratic polynomial system and it is shown that for a wide set of values (including positive ones), there exist only convergence to the roots of the problem.

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References

  1. Cordero, A., Gutiérrez, J.M., Magrenán, Á.A., Torregrosa, J.R.: Stability analysis of a parametric family of iterative methods for solving nonlinear models. Appl. Math. Comput. 285, 26–40 (2016)

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  4. Chicharro, F.I., Cordero, A., Torregrosa, J.R.: Drawing dynamical and parameters planes of iterative families and methods. Sci. World J. 2013, 11 (2013). Article ID 780153

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Acknowledgement

This research was partially supported by Ministerio de Economia y Competitividad under grants MTM2014-52016-C2-2-P, Generalitat Valenciana PROMETEO/2016/089 and FONDOCYT, Dominican Republic.

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Correspondence to Alicia Cordero .

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Cordero, A., Maimó, J.G., Torregrosa, J.R., Vassileva, M.P. (2019). Multidimensional Real Dynamics for High-Order Processes. In: Dimov, I., Faragó, I., Vulkov, L. (eds) Finite Difference Methods. Theory and Applications. FDM 2018. Lecture Notes in Computer Science(), vol 11386. Springer, Cham. https://doi.org/10.1007/978-3-030-11539-5_21

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  • DOI: https://doi.org/10.1007/978-3-030-11539-5_21

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-11538-8

  • Online ISBN: 978-3-030-11539-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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