Optimal Hermite-Type Quadrature with Weakly Singular Weight Via Phi-Functions

Background: Many practical problems in physics and engineering involve calculating integrals with singularities. Traditional calculation methods lose accuracy near these singular points, so new methods are needed that can handle such difficult integrals. Purpose: This paper develops an improved calculation method for such integrals. The new method uses both function values and their slopes at selected points and is optimized to give the best possible accuracy. Method: We develop the mathematical framework by creating a special function that captures the behavior of the singular integral. By optimizing the parameters of this special function, we determine the best weights and coefficients for the calculation. Results: We find all the coefficients needed for the new calculation method and prove that the method works correctly. The method is accurate for polynomial functions, and numerical tests show it gives results that are three to five times more accurate than existing standard methods. Implication: The new method is practical and efficient for solving real problems that involve difficult integrals with singularities, and the approach can be extended to other similar problems.

Authors

Institutions

Publication Details

Journal
Problems of Computational and Applied Mathematics
Published
2026-10-27
DOI
https://doi.org/10.71310/pcam.4-1_75.2026.13
Primary Topic
Mathematical functions and polynomials
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Optimal Hermite-Type Quadrature with Weakly Singular Weight Via Phi-Functions

Dilshod M. Akhmedov, M.Sh. Shomalikova
Problems of Computational and Applied Mathematics
Mathematical functions and polynomials
article

Optimal Hermite-Type Quadrature with Weakly Singular Weight Via Phi-Functions

Dilshod M. Akhmedov, M.Sh. Shomalikova
article en

Abstract

Background: Many practical problems in physics and engineering involve calculating integrals with singularities. Traditional calculation methods lose accuracy near these singular points, so new methods are needed that can handle such difficult integrals. Purpose: This paper develops an improved calculation method for such integrals. The new method uses both function values and their slopes at selected points and is optimized to give the best possible accuracy. Method: We develop the mathematical framework by creating a special function that captures the behavior of the singular integral. By optimizing the parameters of this special function, we determine the best weights and coefficients for the calculation. Results: We find all the coefficients needed for the new calculation method and prove that the method works correctly. The method is accurate for polynomial functions, and numerical tests show it gives results that are three to five times more accurate than existing standard methods. Implication: The new method is practical and efficient for solving real problems that involve difficult integrals with singularities, and the approach can be extended to other similar problems.

Problems of Computational and Applied Mathematics(4/1(75))
Russian Academy of Sciences (RU), Central Asian University (UZ)
Openalex Percentile: Top 7%
Mathematical functions and polynomials
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon
Optimal Hermite-Type Quadrature with Weakly Singular Weight Via Phi-Functions — Dilshod M. Akhmedov, M.Sh. Shomalikova · Problems of Computational and Applied Mathematics (2026) | TGRS Research Map | TGRS