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!
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
Related questions
Question
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
}
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
- Define the func(x) function that returns the value of x^3 + x - 1.
- Define the func_derivative(x) function that returns the value of 3x^2 + 1.
- Set the initial guess for the root to 0.
- Set the tolerance for convergence to 0.00005.
- Set the maximum number of iterations to 1000.
- Initialize the error to a value greater than the tolerance.
- Initialize the number of iterations to 0.
- 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.
- Calculate the new estimate for the root using the old estimate and the Newton-Raphson formula.
- Calculate the error between the new estimate and the old estimate.
- Update the old estimate with the new estimate.
- Increment the number of iterations.
- End the while loop.
- Print the estimated root rounded to 4 decimal places.
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