The following paper presents one way to define and classify the fractional pseudo-Newton method through a group of fractional matrix operators, as well as a code written in recursive programming to implement this method, which through minor modifications, can be implemented in any fractional fixed-point method that allows
solving nonlinear algebraic equation systems.
%0 Journal Article
%1 noauthororeditor
%A Torres-Hernandez, A.
%D 2022
%J Applied Mathematics and Sciences: An International Journal (MathSJ)
%K Fractional Group Iterative Methods Operators Programming Recursive Theory
%N 1
%P 01-07
%R 10.5121/mathsj.2022.9101
%T Code of the multidimensional fractional pseudo-Newton method using recursive programming
%U https://www.airccse.com/mathsj/papers/9122mathsj01.pdf
%V 9
%X The following paper presents one way to define and classify the fractional pseudo-Newton method through a group of fractional matrix operators, as well as a code written in recursive programming to implement this method, which through minor modifications, can be implemented in any fractional fixed-point method that allows
solving nonlinear algebraic equation systems.
@article{noauthororeditor,
abstract = {The following paper presents one way to define and classify the fractional pseudo-Newton method through a group of fractional matrix operators, as well as a code written in recursive programming to implement this method, which through minor modifications, can be implemented in any fractional fixed-point method that allows
solving nonlinear algebraic equation systems.},
added-at = {2022-09-22T07:07:22.000+0200},
author = {Torres-Hernandez, A.},
biburl = {https://www.bibsonomy.org/bibtex/2c1a53cc8f5a0cd3689923794fa0d3673/journalmathsj},
doi = {10.5121/mathsj.2022.9101},
interhash = {9bcf9057ff298dfdc43f75a3ad2997c3},
intrahash = {c1a53cc8f5a0cd3689923794fa0d3673},
issn = {2349 - 6223},
journal = {Applied Mathematics and Sciences: An International Journal (MathSJ)},
keywords = {Fractional Group Iterative Methods Operators Programming Recursive Theory},
language = {English},
month = {March},
number = 1,
pages = {01-07},
timestamp = {2022-09-22T07:07:22.000+0200},
title = {Code of the multidimensional fractional pseudo-Newton method using recursive programming},
url = {https://www.airccse.com/mathsj/papers/9122mathsj01.pdf},
volume = 9,
year = 2022
}