A quadrature rule of Lobatto-Gaussian for numerical integration of analytic functions

Autor: Sanjit Kumar Mohanty, Rajani Ballav Dash
Rok vydání: 2022
Předmět:
Zdroj: Numerical Algebra, Control and Optimization. 12:705
ISSN: 2155-3297
2155-3289
DOI: 10.3934/naco.2021031
Popis: A novel quadrature rule is formed combining Lobatto six point transformed rule and Gauss-Legendre five point transformed rule each having precision nine. The mixed rule so formed is of precision eleven. Through asymptotic error estimation the novelty of the quadrature rule is justified. Some test integrals have been evaluated using the mixed rule and its constituents both in non-adaptive and adaptive modes. The results are found to be quite encouraging for the mixed rule which is in conformation with the theoretical prediction.
Databáze: OpenAIRE