Method selection (Nelder-Mead, BFGS, Powell) in SciPy - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to import the minimize function from scipy.optimize.

SciPy

from scipy.optimize import [1]

Drag options to blanks, or click blank then click option'

Aminimize

Boptimize

Cmin

Dopt

Attempts:

3 left

💡 Hint

Common Mistakes

Importing 'optimize' instead of 'minimize'.

Using 'min' which is a built-in function, not from scipy.

The minimize function is imported from scipy.optimize to perform optimization.

2fill in blank

medium

Complete the code to define the function to minimize: f(x) = (x-3)^2.

SciPy

def func(x):
    return (x[1]3)**2

Drag options to blanks, or click blank then click option'

A+

B/

C*

D-

Attempts:

3 left

💡 Hint

Common Mistakes

Using '+' instead of '-' which changes the function.

Using '*' or '/' which are incorrect here.

The function is (x - 3) squared, so the operator between x and 3 is subtraction '-'.

3fill in blank

hard

Fix the error in the code to minimize the function using the Nelder-Mead method.

SciPy

result = minimize(func, x0=0, method=[1])

Drag options to blanks, or click blank then click option'

A'BFGS'

B'Gradient'

C'Nelder-Mead'

D'Powell'

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'BFGS' or 'Powell' instead of 'Nelder-Mead'.

Using 'Gradient' which is not a valid method name.

The method name for Nelder-Mead must be exactly 'Nelder-Mead' as a string.

4fill in blank

hard

Fill both blanks to minimize the function using the BFGS method starting at x=2.

SciPy

result = minimize(func, x0=[1], method=[2])

Drag options to blanks, or click blank then click option'

A2

B'BFGS'

C'Nelder-Mead'

D0

Attempts:

3 left

💡 Hint

Common Mistakes

Using x0=0 instead of 2.

Using method 'Nelder-Mead' instead of 'BFGS'.

We start at x=2 and use the method 'BFGS' for minimization.

5fill in blank

hard

Fill all three blanks to minimize the function using Powell method starting at x=1 and print the optimized value.

SciPy

result = minimize(func, x0=[1], method=[2])
print(result.[3])

Drag options to blanks, or click blank then click option'

A1

B'Powell'

Cx

Exopt

Fx0

Gxval

Attempts:

3 left

💡 Hint

Common Mistakes

Using wrong method names.

Trying to print result.xopt or other invalid attributes.

The starting point is 1, method is 'Powell', and the optimized value is accessed by result.x.