Right Riemann Sum With Equal SubIntervals Example | Numerical Methods

Welcome to our comprehensive numerical methods tutorial on the "Right Riemann Sum with Equal Subinterval Example." In this video, we'll walk through a completeRight Riemann Sum Example with error analysis.

The problem explored in this video states: A) Given the function f(x) = 4 x^ + 2 x - I over the interval of [2,61, approximate the definite integral using the Left Riemann Sum with n=4 equal subintervals B) Find the relative and maximum error of this Riemann Sum.

Whether you're a math enthusiast, a student seeking clarity in calculus concepts, or someone intrigued by the art of numerical computation, this tutorial is tailor-made to provide you with a clear understanding of the Right Riemann Sum and its significance.

This timeline is meant to help you better understand how to solve a Right Riemann sum problem: 0:00 Introduction 0:41 Finding step-size for Riemann Sums. 1:12 Finding Right Riemann Sum Equation. 3:31 Validating Right Riemann Sum vs analytical solution. 3:42 Relative Error of Right Riemann Sum approximation. 4:20 Maximum Error of this Riemann Sum approximation. 5:02 Outro

Relevant Numerical Methods Playlists: Numerical Methods Playlist: https://www.youtube.com/watch?v=F2NWYEOHIkc&list=PLDea8VeK4MUTOBXLpvx_WKtVrMkojEh52 Numerical Methods Examples Playlist: https://www.youtube.com/watch?v=UA7bzwCwHMI&list=PLDea8VeK4MUTxZGOTG-VNnW4T3TYwlEc9

Follow & Support StudySession: Channel Memberships: https://www.youtube.com/channel/UCaFHlSOg83nCUIHlFMlUhPw/join Email Us: StudySessionBusiness@gmail.com Twitter: https://twitter.com/StudySessionYT Instagram: https://instagram.com/StudySessionyt/

This video is part of our Numerical Methods course. Numerical methods is about solving math problems through approximating the solution of problems that would be difficult or impossible to solve analytically. In this playlist we will cover topics such as solving systems of linear equations, solving systems of non-linear equations, numerical integration, numerical derivatives, etc.. #studysession #numericalanalysis #numericalmethod ... https://www.youtube.com/watch?v=4zQtfuRZ8mk