Open AccessSolving nonlinear optimization problem using approximation methods
Author(s) -
Abbas Musleh Salman,
Ahmed Sabah Al-Jilawi
Publication year - 2022
Publication title -
international journal of health sciences (ijhs) (en línea)
Language(s) - English
Resource type - Journals
eISSN - 2550-6978
pISSN - 2550-696X
DOI - 10.53730/ijhs.v6ns3.5699
Subject(s) - mathematical optimization , lagrangian relaxation , relaxation (psychology) , nonlinear system , computer science , optimization problem , nonlinear programming , mathematics , psychology , social psychology , physics , quantum mechanics
The goal of this paper is to find a better method for integrating the optimization problem faster, and we did so by using a relaxation of the solution area, which is one of the methodologies in the correlation between the penalty method and the Augmented Lagrange method, and we also built default properties for combining these two methods.