Open AccessFractal algorithm for the modeling of consumption in COVID-19
Author(s) -
María Ramos-Escamilla
Publication year - 2020
Publication title -
journal-mathematical and quantitative methods
Language(s) - English
Resource type - Journals
ISSN - 2531-2979
DOI - 10.35429/jmqm.2020.6.4.1.7
Subject(s) - convergence (economics) , fractal , mathematics , function (biology) , mathematical optimization , constant (computer programming) , multiplication (music) , algorithm , brownian motion , computer science , mathematical analysis , statistics , combinatorics , evolutionary biology , economics , biology , programming language , economic growth
We present an analysis of the exogenous factors of consumption, we simulate it in a fractal algorithm whose objective is the Brownian equilibrium through the iterative multiplication of assumptions of an initial function at current prices whose values are constant and positive that will derive in the final solution that is characterized by non-negativity and does not denote absolute convergence, only relative to their economies of scale compared to iterative methods, we find other procedures derived from the stochastic method but formulated strictly as mathematical developments, they are fractal optimization algorithms, which are based on search of an objective function that minimizes the distance between the initial function and the expected iterations of the candidate functions to be a solution, verifying the corresponding restrictions.