Open AccessMETHODS OF OPTIMIZATION OF PARAMETRIC SYSTEMS
Author(s) -
В. Т. Матвиенко,
В. В. Пічкур,
Dmytro Cherniy
Publication year - 2021
Publication title -
žurnal občislûvalʹnoï ta prikladnoï matematiki
Language(s) - English
Resource type - Journals
eISSN - 2706-9699
pISSN - 2706-9680
DOI - 10.17721/2706-9699.2021.1.20
Subject(s) - parametric statistics , sensitivity (control systems) , gradient descent , function (biology) , computer science , mathematics , descent (aeronautics) , basis (linear algebra) , dynamical systems theory , mathematical optimization , optimization problem , gradient method , control theory (sociology) , physics , artificial intelligence , engineering , artificial neural network , geometry , statistics , control (management) , quantum mechanics , electronic engineering , evolutionary biology , meteorology , biology
The paper considers methods of parametric optimization of a dynamical system, which is described by a parametric system of differential equations. The gradient of the functional in the form of Boltz is found, which is the basis of methods such as gradient descent. Another method is based on the application of the sensitivity function.