
Mathematical Optimization Techniques in Computational of Biological Models
Author(s) -
Huda Amer Hadi,
Ahmed Sabah Al-Jilawi
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1818/1/012181
Subject(s) - subgradient method , convergence (economics) , mathematical optimization , bundle , subderivative , computer science , function (biology) , mathematics , convex optimization , regular polygon , materials science , geometry , evolutionary biology , economics , composite material , biology , economic growth
The aim of this research is focused on the mathematical optimization in computational systems biological models based on find the good method that gives converges faster. Our strategy is to use Bundle Method instead of using Subgradient Methods. Also, we improve the convergence of theoretical properties of the methods. The basic idea of approximation is the subdifferential of the objective function by using subgradients from previous iterations of a bundle method.