I have to write an R code that does the following:

I am a little lost on how to and where to start. so far i have done this:

xs

# defining the function that we want to optimize f

plot(xs, f(xs), type = "l", xlab = "x", ylab = expression((x**2 - 5)*sin(x)))

grad

Any help/advice will be appreciated!

Use gradient Descent to find local minimum of the function: f(x) (25)sin() To solve question, you need to use following parameters and requirements set Q 0.001 as step size use two different stop criteria to control the loop define the value by yourself Try at least 10 different starting points between [0, 100]. In the end, you should obtain 20 local minimum values from two methods. Finally, you need to compare the result from two different criteria, which one is more efficient