Minimizing multivariate functions (minimize) 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'

Amin

Boptimize

Cminimize

Dminimizer

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'min' instead of 'minimize'.

Trying to import 'optimize' instead of 'minimize'.

The minimize function is imported directly from scipy.optimize to perform minimization.

2fill in blank

medium

Complete the code to define a function f(x) that returns x[0] squared plus x[1] squared.

SciPy

def f(x):
    return x[0] [1] x[0] + x[1] * x[1]

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

A*

B**

C+

D-

Attempts:

3 left

💡 Hint

Common Mistakes

Using '+' instead of '*' for squaring.

Using '**' inconsistently in the expression.

To square a number, you multiply it by itself using *. So x[0] * x[0] is correct.

3fill in blank

hard

Fix the error in the code to minimize function f starting from initial guess [1, 1].

SciPy

result = minimize(f, [1])

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

A[1, 1]

B1, 1

C(1, 1)

D{1, 1}

Attempts:

3 left

💡 Hint

Common Mistakes

Passing separate numbers instead of a list.

Using a set instead of a list.

The initial guess must be a list or array. So [1, 1] is correct.

4fill in blank

hard

Fill both blanks to create a dictionary of squares for numbers 1 to 5, but only include numbers greater than 3.

SciPy

squares = {x: x[1]2 for x in range(1, 6) if x [2] 3}

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

A**

B%

C>

D+

Attempts:

3 left

💡 Hint

Common Mistakes

Using '+' instead of '**' for squaring.

Using '<' instead of '>' in the condition.

The expression x**2 squares x. The condition x > 3 filters numbers greater than 3.

5fill in blank

hard

Fill all three blanks to create a dictionary with uppercase keys and values only if value is positive.

SciPy

result = [1]: [2] for k, v in data.items() if v [3] 0}

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

Ak.upper()

Bv

C>

Dk.lower()

Attempts:

3 left

💡 Hint

Common Mistakes

Using k.lower() instead of k.upper().

Using '<' instead of '>' in the condition.

k.upper() converts keys to uppercase, v is the value, and v > 0 filters positive values.