function iterFunc(x) { return x^3 + x - 1 } oldEst = 0 tol = 0.00005 error = 1 while (error > tol) newEst = iterFunc(oldEst) print(newEst) error = abs(newEst - oldEst) oldEst = newEst } Edit this psuedocode to make it work in python, the output should be 0.6823 as this is a method of root finding!

Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
Section: Chapter Questions
Problem 1PE
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function iterFunc(x) {
return x^3 + x - 1
}
oldEst = 0
tol = 0.00005

error = 1
while (error > tol)
newEst = iterFunc(oldEst)
print(newEst)
error = abs(newEst - oldEst)
oldEst = newEst
}
Edit this psuedocode to make it work in python, the output should be 0.6823 as this is a method of root finding! 
Expert Solution
Step 1: Providing the algorithm
  1. Define the func(x) function that returns the value of x^3 + x - 1.
  2. Define the func_derivative(x) function that returns the value of 3x^2 + 1.
  3. Set the initial guess for the root to 0.
  4. Set the tolerance for convergence to 0.00005.
  5. Set the maximum number of iterations to 1000.
  6. Initialize the error to a value greater than the tolerance.
  7. Initialize the number of iterations to 0.
  8. Start a while loop that runs as long as the error is greater than the tolerance and the number of iterations is less than the maximum number of iterations.
  9. Calculate the new estimate for the root using the old estimate and the Newton-Raphson formula.
  10. Calculate the error between the new estimate and the old estimate.
  11. Update the old estimate with the new estimate.
  12. Increment the number of iterations.
  13. End the while loop.
  14. Print the estimated root rounded to 4 decimal places.
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