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Create variables x 1 and x 2 , setting them equal to 0 and 5 , respectively. We will use a loop to update the

Create variables x1 and x2, setting them equal to 0 and 5, respectively. We will use a loop to update the values
of these variables to close in on to the solution.
2. Create a variable named val1, setting it equal to the value you would obtain by plugging x1 into the function f.
Create a variable named val2, setting it equal to the value you would obtain by plugging x2 into the function f
Notice that we can see from the plot that val1 should be negative and val2 should be positive.
3. Create a variable named n and set it equal to 0. We will use this variable to count the number of iterations
required for the algorithm to converge to a solution.
4. Use a loop to iteratively update the values of the four variables above as described below. This loop should
continue to execute until the absolute value of val1 and val2 are both less than 0.000001. Each time the loop
executes, perform the following steps:
Increment n.
Create a variable named new_x that is equal to the average of x1 and x2.
Create a variable named new_val that is equal to f(new_x).
If new_val is negative, then set x1 to new_x and set val1 to new_val. Otherwise, set x2 to new_x
and set val2 to new_val.
5. When the loop is finished executing, x1 and x2 should be very near each other, and near to the solution. Take
the average of the two values to be the approximation for the solution. Print your result with a message as
shown below, with the xxxx strings replaced with the appropriate values. Round the approximate solution to
seven decimal places.
The approximate solution is x = xxxx.
The algorithm took xxxx iterations to converge

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