Lecture
Gauss Formulas
Description
This lecture introduces Gauss formulas for numerical integration, explaining the construction of quadrature formulas with weights and points, the choice of integration points, and the benefits of Gauss formulas in reducing errors and increasing convergence order.
Instructor
et esse laboris eu
Officia cupidatat id eu fugiat do exercitation minim magna. Veniam sit ullamco culpa ad sit consectetur eiusmod ut voluptate velit veniam non. Tempor adipisicing reprehenderit ipsum tempor non et sint mollit velit. Aliquip et in officia exercitation magna. Esse cillum consequat sit occaecat commodo ut deserunt id esse voluptate. Velit non velit incididunt ea pariatur officia ad esse velit irure et enim nostrud.
Official source
About this result
This page is automatically generated and may contain information that is not correct, complete, up-to-date, or relevant to your search query. The same applies to every other page on this website. Please make sure to verify the information with EPFL's official sources.
Ontological neighbourhood