Gaussian integration with rescaling of abscissas and weights
A. Odrzywolek

TL;DR
This paper presents a novel algorithm for integrating polynomial functions with variable weights by extending Gaussian integration through rescaling of abscissas and weights, offering an alternative to interval splitting.
Contribution
The paper introduces a new method that extends Gaussian integration with rescaling, improving flexibility for weighted polynomial integration.
Findings
Effective extension of Gaussian integration for variable weights
Rescaling approach provides accurate integration without interval splitting
Method offers computational advantages over traditional techniques
Abstract
An algorithm for integration of polynomial functions with variable weight is considered. It provides extension of the Gaussian integration, with appropriate scaling of the abscissas and weights. Method is a good alternative to usually adopted interval splitting.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
