scholarly journals Application Local Polynomial and Non-polynomial Splines of the Third Order of Approximation for the Construction of the Numerical Solution of the Volterra Integral Equation of the Second Kind

2021 ◽  
Vol 20 ◽  
Author(s):  
I. G. Burova

The present paper is devoted to the application of local polynomial and non-polynomial interpolation splines of the third order of approximation for the numerical solution of the Volterra integral equation of the second kind. Computational schemes based on the use of the splines include the ability to calculate the integrals over the kernel multiplied by the basis function which are present in the computational methods. The application of polynomial and nonpolynomial splines to the solution of nonlinear Volterra integral equations is also discussed. The results of the numerical experiments are presented.

2021 ◽  
Vol 20 ◽  
pp. 475-488
Author(s):  
I.G. Burova ◽  
A.G. Doronina ◽  
D.E. Zhilin

This paper is a continuation of a series of papers devoted to the numerical solution of integral equations using local interpolation splines. The main focus is given to the use of splines of the fourth order of approximation. The features of the application of the polynomial and non-polynomial splines of the fourth order of approximation to the solution of Volterra integral equation of the second kind are discussed. In addition to local splines of the Lagrangian type, integro-differential splines are also used to construct computational schemes. The comparison of the solutions obtained by different methods is carried out. The results of the numerical experiments are presented.


Author(s):  
I. G. Burova ◽  
Yu. K. Demyanovich ◽  
A. N. Terekhov ◽  
A. Yu. Altynova ◽  
A. D. Satanovskiy ◽  
...  

In some cases, there are problems associated with the compression and enlargement of images. The use of splines is quite effective in some cases. In this paper, a new image compression algorithm is presented. The features of increasing the size of an image when using local polynomial or non-polynomial splines are considered. The main method for enlarging an image is based on the use of splines of the second and third order of approximation. Polynomial and trigonometric splines are considered. To speed up the process of enlarging the image, we used the parallelization techniques


2015 ◽  
Vol 44 (1) ◽  
pp. 5-28 ◽  
Author(s):  
K. Maleknejad ◽  
P. Torabi ◽  
S. Sauter

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