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Understanding Numerical Errors in Computing & MATLAB | Learn about different types of numerical errors and how to minimize them in computational mathematics and programming. This tutorial covers sources of error, truncation error, round-off error, floating point numbers, and IEEE floating point standards in a simple and easy-to-understand manner! ⌚ TIMESTAMPS 0:00 - Sources of error and how to minimize it 0:30 - Modelling error 1:52 - Data error 3:00 - Human error 3:55 - Inherit errors 4:38 - Truncation error 7:50 - How to minimize the truncation error with the help of Example 16:20 - roundoff error 16:50 - floating point number 18:30 - Normalization rules for floating point number 20:49 - IEEE floating point standards 23:55 - Chopping vs Rounding Important Links: • Numerical Analysis Crash Course | Everythi... • Errors in Numerical Analysis | Types of Er... 🔹 What You’ll Learn in This Video: ✅ Sources of Error in numerical computing & how to reduce them ✅ Truncation Error explained with examples & minimization techniques ✅ Round-Off Error – Causes & how to minimize rounding issues ✅ Floating Point Numbers & their impact on numerical accuracy ✅ IEEE Floating Point Standards – Single vs Double Precision ✅ Chopping vs Rounding – Key differences & best practices 🔍 Popular MATLAB & Numerical Analysis Topics Covered: ✔️ sources of error in numerical methods ✔️ truncation error with example ✔️ how to minimize truncation error ✔️ round off error in numerical computing ✔️ floating point numbers explained ✔️ ieee 754 floating point standard ✔️ chopping vs rounding difference ✔️ numerical errors in matlab ✔️ floating point arithmetic errors ✔️ numerical stability in computing 🚀 Boost Your Numerical Computing Skills! This tutorial is perfect for students, engineers, and programmers who want to understand numerical errors in computational mathematics and MATLAB programming. 💡 Want More Tutorials on Numerical Methods? 👉 Subscribe for more computational math & MATLAB lessons! 👉 Hit the Like button if this video helps! 👉 Have questions? Comment below! 🔔 Stay updated with the latest programming & numerical analysis tutorials! 🚀