Numerical Methods Lecture 08 False Position method

YOUR LINK HERE:

http://youtube.com/watch?v=SFGM_hDXdLA

In this video, we develop the False Position Method for the solution of one variable. We derive the iterative scheme step by step and discuss how it improves upon the Bisection Method by incorporating a secant-like approach while maintaining bracketing. • Additionally, we compare the False Position Method with Newton’s Method, the Secant Method, and the Bisection Method, analyzing their convergence behavior, efficiency, and accuracy. By the end of this video, we conclude our first topic on solving equations of one variable in our Numerical Methods playlist. • 📌 Topics Covered: • ✅ Development of the False Position Method • ✅ Comparison with Newton’s, Secant, and Bisection Methods • ✅ Convergence Analysis and Efficiency • ✅ Conclusion of One-Variable Equation Solving Method • 📚 Perfect for students of Numerical Methods, Engineering, Mathematics, and anyone interested in computational problem-solving. • • Linkedin Account : https://www.linkedin.com/in/muhammad-... • #numericalmethods #approximate #bisectionmethod #newtonraphsonmethod #chemicalengineering #materialsengineering #engineering #overview #numericalanalysis #MATLAB #NumericalDifferentiation #taylorseries #error #roundoff #absolute #intermediate#value#theorem #bisectionmethod #pseudocode #fixed #fpm #iterations #fixedpointtheorem #convergence #uniqueness #existence #bounds #numericalanalysislecture #errorapproximation #engineeringmathematics #appliednumericalmethodsforengineers #numericalmethods4thsemester #NumericalMethods #NewtonMethod #SecantMethod #RootFinding #MATLAB #falsepositionmethod

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