The following paper presents one way to define and classify the fractional quasi-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 09-15
%R 10.5121/mathsj.2022.9102
%T Code of the Multidimensional Fractional Quasi-Newton Method using Recursive Programming
%U https://airccse.com/mathsj/papers/9122mathsj02.pdf
%V 9
%X The following paper presents one way to define and classify the fractional quasi-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 quasi-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 = {2022-04-14T08:08:03.000+0200},
author = {Torres-Hernandez, A.},
biburl = {https://www.bibsonomy.org/bibtex/2cd2fdfa9f0b5c6d4c944acd31f4e2384/journalmathsj},
doi = {10.5121/mathsj.2022.9102},
interhash = {c51096f5193882a50e8138d1b92fae81},
intrahash = {cd2fdfa9f0b5c6d4c944acd31f4e2384},
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 = {09-15},
timestamp = {2022-04-14T08:08:03.000+0200},
title = {Code of the Multidimensional Fractional Quasi-Newton Method using Recursive Programming},
url = {https://airccse.com/mathsj/papers/9122mathsj02.pdf},
volume = 9,
year = 2022
}