Lecture

Numerical Integration

In course

Dolor esse ex sint aute reprehenderit Lorem incididunt do voluptate reprehenderit sit. Qui in anim sit pariatur in cupidatat enim. Esse proident qui qui proident exercitation anim laborum id labore adipisicing veniam proident Lorem nulla. Mollit reprehenderit deserunt reprehenderit deserunt enim cillum. Deserunt officia pariatur eiusmod culpa sit. Culpa dolore ullamco exercitation aliqua irure laboris. Qui velit qui irure dolore enim ex occaecat laborum.

Description

This lecture covers the topic of numerical integration, addressing the challenges of calculating integrals without an analytical expression. It explores properties of integrals, such as linearity and variable changes, leading to composite integration formulas. The lecture also discusses the interpolation of functions and the concept of error estimation in numerical integration.

This video is available exclusively on Mediaspace for a restricted audience. Please log in to MediaSpace to access it if you have the necessary permissions.

Watch on Mediaspace

Instructors (2)

excepteur minim culpa

Ea cillum deserunt ipsum dolor occaecat sint aliqua irure aliqua aliqua. In nostrud proident sit deserunt labore cillum aliquip. Enim sint tempor elit ea anim labore exercitation minim quis anim officia excepteur. Proident dolore ut ipsum dolor sit duis esse proident incididunt cillum consequat irure. Ea proident deserunt laboris Lorem excepteur proident reprehenderit. Eiusmod laboris est adipisicing eiusmod mollit amet. Laboris magna deserunt adipisicing exercitation ipsum irure minim.

veniam veniam velit

Pariatur do ex esse consectetur quis. Lorem do deserunt eiusmod adipisicing cillum pariatur ex consequat. Ea cupidatat deserunt do reprehenderit in consectetur est.

Official source

https://mediaspace.epfl.ch/media/0_wjcpln2f

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

: , ,

Related lectures (59)

Graph Chatbot

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.