Master Numerical Differentiation (Forward, Backward & Central Difference)

Learn numerical differentiation in this step-by-step tutorial! 🚀
We’ll cover the forward difference, backward difference, and central difference methods used to approximate derivatives when analytical solutions are difficult or impossible.

By the end of this video, you’ll understand:
✅ What numerical differentiation is and why it’s used
✅ How to apply forward, backward, and central difference formulas
✅ How to estimate errors and improve accuracy
✅ Real examples that make the concept easy to follow

Video Timeline:
0:00 Introduction To Numerical Differentiation
2:46 Forward Difference Method Theory
10:36 Forward Difference Method Examples
14:00 Backward Difference Method Theory
21:55 Backward Difference Method Examples
25:19 Centered Difference Method Theory
33:10 Centered Difference Method Examples

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This video is part of our Numerical Methods / Numerical Analysis 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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