Open AccessCode of the Multidimensional Fractional Pseudo-Newton Method using Recursive Programming
Author(s) -
A. Torres-Hernandez
Publication year - 2022
Publication title -
applied mathematics and sciences: an international journal
Language(s) - English
Resource type - Journals
ISSN - 2349-6223
DOI - 10.5121/mathsj.2022.9101
Subject(s) - fractional programming , code (set theory) , minor (academic) , computer science , algebraic equation , nonlinear system , matrix (chemical analysis) , nonlinear programming , mathematics , algebra over a field , fractional calculus , point (geometry) , quasi newton method , algebraic number , newton's method , algorithm , mathematical optimization , programming language , mathematical analysis , pure mathematics , physics , materials science , geometry , set (abstract data type) , quantum mechanics , political science , law , composite material
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.