False Position Method (Theory, Examples & Code) | Numerical Methods
This is a compilation video of all our false position method videos. False Position Method is a way to solve non-linear equations through numerical methods. The False Position Method (also known as Regula Falsi) relies on defining two inputs between which there is a known root and continually narrowing on said root.
This timeline is meant to help you better understand the false position method:
0:00 False Position Method Theory
3:49 False Position Method Example
7:32 Coding False Position method into python
12:54 False Position Method In Microsoft Excel
17:35 False Position Method In Google Sheets
23:00 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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