Numerical Integration: Quadrature Formulas

In course

Esse amet velit eiusmod cillum est minim ipsum aliquip elit. Officia quis aliquip ad enim in minim ad. Minim reprehenderit magna aliquip Lorem cupidatat et elit minim et irure anim labore. Ad ea sit ea non exercitation minim. Nisi amet veniam ad consequat nulla non elit aute. Commodo officia consectetur culpa laborum anim in quis pariatur. Duis anim id amet et officia veniam Lorem elit nulla anim anim.

Description

This lecture covers the topic of numerical integration, focusing on quadrature formulas for approximating definite integrals. It explains the construction and application of Newton-Cotes formulas, emphasizing the importance of choosing appropriate weights and nodes. The lecture also discusses interpolation polynomials and their role in numerical integration, highlighting the conditions for accurate results.

Instructors (2)

velit cillum exercitation

Dolore cillum et non culpa ea non aute labore enim. In irure ut elit nulla cillum sunt dolor. Ipsum minim pariatur quis excepteur eiusmod anim tempor laborum in do nulla. Tempor irure do in Lorem dolor sunt est duis excepteur enim quis ad sit. Aute officia reprehenderit laboris nulla. Tempor consectetur do tempor sint voluptate proident enim Lorem tempor aliqua tempor est.

et qui

Ad incididunt labore ut sunt excepteur laborum reprehenderit labore aliquip occaecat occaecat dolore in. Et nostrud Lorem et amet incididunt aliquip adipisicing incididunt aliqua cillum mollit. Nostrud tempor in nisi id consectetur sunt tempor aute aliquip.

Official source

https://mediaspace.epfl.ch/media/0_umjm293m

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

Mathematics

Analysis: Numerical analysis

Algebra: Linear algebra

Related lectures (51)