In this engaging tutorial, we delve into the fundamental concept of Riemann Sums and their application in calculating the minimum number of steps required for various scenarios. Whether you're exploring calculus or aiming to understand optimization problems, this video is your gateway to comprehending how Riemann Sums can be employed to find the minimum steps needed in different situations.
This timeline is meant to help you better understand how to find the minimum required steps to achieve a level of error in Riemann Sums:
0:00 Introduction
0:35 Recap of maximum error using Riemann Sums.
0:59 Find minimum steps in a Riemann Sums problem
3:18 Outro
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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..
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