In this lesson you'll learn about the Newton Raphson and secant Techniques, how to develop a VBA code to implement these techniques to any desired approximate error and how the open methods compares to both bisection and False position methods

This file is part of a series of video lectures for Dr. Siddharth Misra’s class, Numerical Methods for Engineering Computation, at the University of Oklahoma. The video series demonstrates how to develop numerical methods using C++, Python, and MATLAB and shows the codes and methods being developed from the scratch. Students are encouraged to develop their own codes along with the videos. The series is numbered as follows:

1.1 – 1.8

2.1 – 2.3

3.1 – 3.7

4.1 – 4.7

5.1 – 5.5

6.1 – 6.4

7.1 – 7.5

8.1 – 8.4