. Using Newton's Method for 1D Optimization In this problem, you...

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Using Newton's Method for 1D Optimization In this problem, you will use Newton's Method to optimize the following 1 D function: $2—5$+6 nus) = $2" Using the initial guess XE}, iterate through Newton's Method until If'(:r:k)| g tol, where tol is the desired tolerance. Be sure to include the initial guess xa and the iterate that fufllls the above inequality in the array of guesses newton_guesses The setup code gives the following variables: Name Type Description xa float Initial guess tol float Tolerance threshold value Your code snippet should define the following variables: Name Type Description dfunc function Evaluates f'(a:) dzfunc function Evaluates f"(:1:) newton_guesses 1D numpy array Array holding the guesses from Newton's Method

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user_code.py import numpy as np WNP # complete the function below 4 - def dfunc (x) : 5 # Add your code here 6 pass 8 # complete the function below 9 - def d2func(x) : 10 # Add your code here 11 pass 12 13 # run Newton's Method Restore original file

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