Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференций › статья в сборнике материалов конференции › научная › Рецензирование
The Approximations of Functions and Adaptive Grids. / Burova, I. G.; Muzafarova, E. F.; Zhilin, D. E.
Proceedings - 2018 International Conference on Applied Mathematics and Computational Science, ICAMCS.NET 2018. Institute of Electrical and Electronics Engineers Inc., 2018. стр. 171-177 8955766 (Proceedings - 2018 International Conference on Applied Mathematics and Computational Science, ICAMCS.NET 2018).Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференций › статья в сборнике материалов конференции › научная › Рецензирование
}
TY - GEN
T1 - The Approximations of Functions and Adaptive Grids
AU - Burova, I. G.
AU - Muzafarova, E. F.
AU - Zhilin, D. E.
PY - 2018/10
Y1 - 2018/10
N2 - A visualization of real function of two variables is often technically difficult. Visualization of complex-valued functions can be simplified by visualizing the real and imaginary parts of these functions. To approximate fast-growing or decreasing functions, often a uniform grid of nodes is not enough and it is necessary to use a special adaptive grid. Therefore, constructing an adaptive mesh of nodes that takes into account the behavior of the function of several variables is of considerable interest. In this paper, we propose one method for constructing an adaptive grid of nodes on a line. Such an adaptive grid can be used to approximate the functions of several variables. Formulae for constructing the adaptive grid of nodes and the results of numerical experiments are given. An approximation of real functions of one and two variables and complex-valued functions is constructed using polynomial and non-polynomial local splines of one variable. Approximations in a rectangular region in the plane are constructed using the tensor product. Formulae for approximations of real and complex-valued functions and examples of visualization of some functions are given.
AB - A visualization of real function of two variables is often technically difficult. Visualization of complex-valued functions can be simplified by visualizing the real and imaginary parts of these functions. To approximate fast-growing or decreasing functions, often a uniform grid of nodes is not enough and it is necessary to use a special adaptive grid. Therefore, constructing an adaptive mesh of nodes that takes into account the behavior of the function of several variables is of considerable interest. In this paper, we propose one method for constructing an adaptive grid of nodes on a line. Such an adaptive grid can be used to approximate the functions of several variables. Formulae for constructing the adaptive grid of nodes and the results of numerical experiments are given. An approximation of real functions of one and two variables and complex-valued functions is constructed using polynomial and non-polynomial local splines of one variable. Approximations in a rectangular region in the plane are constructed using the tensor product. Formulae for approximations of real and complex-valued functions and examples of visualization of some functions are given.
KW - approximation
KW - complex-valued splines
KW - non-polynomial splines
KW - polynomial splines
KW - tensor product
UR - http://www.scopus.com/inward/record.url?scp=85078931649&partnerID=8YFLogxK
U2 - 10.1109/ICAMCS.NET46018.2018.00036
DO - 10.1109/ICAMCS.NET46018.2018.00036
M3 - Conference contribution
T3 - Proceedings - 2018 International Conference on Applied Mathematics and Computational Science, ICAMCS.NET 2018
SP - 171
EP - 177
BT - Proceedings - 2018 International Conference on Applied Mathematics and Computational Science, ICAMCS.NET 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2018 International Conference on Applied Mathematics and Computational Science
Y2 - 6 October 2018 through 8 October 2018
ER -
ID: 52304657