The Newton Raphson method is a numerical method used to find the root of a function. It is an iterative process that uses the derivative of the function to approximate the root.
The Newton Raphson method starts with an initial guess for the root and then iteratively improves the guess by using the derivative of the function at that point. The process continues until the desired accuracy is achieved.
The Newton Raphson method is a fast and efficient method for finding roots of functions. It also converges quickly to the root and has a high accuracy rate.
The Newton Raphson method may not work for functions with multiple roots or when the initial guess is far from the actual root. It also requires the function to be differentiable.
To implement the Newton Raphson method in MATLAB, you will need to define the function, its derivative, and an initial guess for the root. Then, you can use a loop to iteratively improve the guess until the desired accuracy is achieved.