A unified generalization of some quadrature rules and error bounds
Wenjun Liu, Yong Jiang, Adnan Tuna

TL;DR
This paper introduces a parameterized framework that unifies various quadrature rules and their error bounds, providing new inequalities and extending existing results for numerical integration.
Contribution
It offers a unified generalization of quadrature rules and derives new sharp error bounds for both odd and even cases, enhancing the theoretical understanding.
Findings
Unified framework for quadrature rules and error bounds
New sharp error inequalities for odd and even cases
Extension of existing results to new quadrature rules
Abstract
By introducing a parameter, we give a unified generalization of some quadrature rules, which not only unify the recent results about error bounds for generalized mid-point, trapezoid and Simpson's rules, but also give some new error bounds for other quadrature rules as special cases. Especially, two sharp error inequalities are derived when n is an odd and an even integer, respectively.
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Taxonomy
TopicsMatrix Theory and Algorithms · Mathematical functions and polynomials · Iterative Methods for Nonlinear Equations
