To find the error in the convergence of the Newton-Raphson method in MATLAB, you can compute the absolute value of the difference between the current estimate and the previous estimate.
Here is an example code to illustrate how to find the error in the Newton-Raphson convergence:
main.m1575 chars35 lines
In this example, the newtonRaphson
function takes in the function func
, its derivative derivative
, the initial guess for the root initial_guess
, the maximum number of iterations max_iter
, and the tolerance for convergence tolerance
.
Within the while
loop, the previous estimate old_root
is updated, and the new estimate for the root is computed using the Newton-Raphson formula. The loop continues until the difference between the current estimate and the previous estimate is less than the specified tolerance or the maximum number of iterations is reached.
After finding the root, the error in convergence is calculated as the absolute difference between the root and the initial guess. This error is stored in the error
variable and displayed as the output.
Please note that this code assumes that the Newton-Raphson method converges within the maximum number of iterations. If the method does not converge, you may need to adjust the initial guess or increase the maximum number of iterations to avoid premature termination.
gistlibby LogSnag