Quadrature formula of the highest algebraic degree of accuracy containing predefined nods
Vladikavkazskij matematičeskij žurnal, Tome 25 (2023) no. 1, pp. 131-140
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Approximate methods for calculating definite integrals are relevant to this day. Among them, the quadrature methods are the most popular as they enables one to calculate approximately the integral using a finite number of values of the integrable function. In addition, in many cases, less computational labor is required compared to other methods. Using Chebyshev polynomials of the first, second, third, and fourth kind corresponding to the weight functions $p(x)=\frac{1}{\sqrt{1-x^2}}$, $p(x)=\sqrt{1- x^2}$, $p(x)=\sqrt{\frac{1+x}{1-x}}$, $p(x)=\sqrt{\frac{1-x}{1+x }}$, on the segment $[-1,1]$, quadrature formulas are constructed with predefined nodes $a_1=-1$, $a_2=1$, and estimates of the remainder terms with degrees of accuracy $2n+1$. In this case, a special place is occupied by the construction of orthogonal polynomials with respect to the weight $p(x)(x^2-1)$ and finding their roots. This problem turned out to be laborious and was solved by methods of computational mathematics.
@article{VMJ_2023_25_1_a9,
author = {Sh. S. Khubezhty},
title = {Quadrature formula of the highest algebraic degree of accuracy containing predefined nods},
journal = {Vladikavkazskij matemati\v{c}eskij \v{z}urnal},
pages = {131--140},
publisher = {mathdoc},
volume = {25},
number = {1},
year = {2023},
language = {ru},
url = {http://geodesic.mathdoc.fr/item/VMJ_2023_25_1_a9/}
}
TY - JOUR AU - Sh. S. Khubezhty TI - Quadrature formula of the highest algebraic degree of accuracy containing predefined nods JO - Vladikavkazskij matematičeskij žurnal PY - 2023 SP - 131 EP - 140 VL - 25 IS - 1 PB - mathdoc UR - http://geodesic.mathdoc.fr/item/VMJ_2023_25_1_a9/ LA - ru ID - VMJ_2023_25_1_a9 ER -
Sh. S. Khubezhty. Quadrature formula of the highest algebraic degree of accuracy containing predefined nods. Vladikavkazskij matematičeskij žurnal, Tome 25 (2023) no. 1, pp. 131-140. http://geodesic.mathdoc.fr/item/VMJ_2023_25_1_a9/