The following paper presents a way to define and classify a family of fractional iterative methods through a group of fractional matrix operators, as well as a code written in recursive programming to implement a variant of the fractional quasi-Newton 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 17-24
%R 10.5121/mathsj.2022.9103
%T Code of a Multidimensional Fractional Quasi-Newton Method with an Order of Convergence at Least Quadratic using Recursive Programming
%U https://airccse.com/mathsj/papers/9122mathsj03.pdf
%V 9
%X The following paper presents a way to define and classify a family of fractional iterative methods through a group of fractional matrix operators, as well as a code written in recursive programming to implement a variant of the fractional quasi-Newton 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 a way to define and classify a family of fractional iterative methods through a group of fractional matrix operators, as well as a code written in recursive programming to implement a variant of the fractional quasi-Newton method, which through minor modifications, can be implemented in any fractional fixed-point method that allows solving nonlinear algebraic equation systems.
},
added-at = {2022-04-19T09:15:57.000+0200},
author = {Torres-Hernandez, A.},
biburl = {https://www.bibsonomy.org/bibtex/2800ceac501e9f10386c67cb37681c73a/journalmathsj},
doi = {10.5121/mathsj.2022.9103},
interhash = {9f12ef93ef1e1c984451c9196c7887f1},
intrahash = {800ceac501e9f10386c67cb37681c73a},
issn = {2349 - 6223},
journal = {Applied Mathematics and Sciences: An International Journal (MathSJ )},
keywords = {Fractional Group Iterative Methods Operators Programming Recursive Theory},
language = {English},
month = mar,
number = 1,
pages = {17-24},
timestamp = {2022-04-19T09:15:57.000+0200},
title = {Code of a Multidimensional Fractional Quasi-Newton Method with an Order of Convergence at Least Quadratic using Recursive Programming},
url = {https://airccse.com/mathsj/papers/9122mathsj03.pdf},
volume = 9,
year = 2022
}