Practice Recursive Cost Calculation - 44.1.5 | 44. Matrix multiplication | Data Structures and Algorithms in Python
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Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What is the computational complexity of multiplying two matrices of dimensions m x n and n x p?

πŸ’‘ Hint: Think about how many multiplications you need for each entry.

Question 2

Easy

Is the order of multiplication important for the final product value?

πŸ’‘ Hint: What does associative mean?

Practice 4 more questions and get performance evaluation

Interactive Quizzes

Engage in quick quizzes to reinforce what you've learned and check your comprehension.

Question 1

What is the primary reason order of multiplication affects computational cost?

  • Multiplication is not associative
  • Different dimensions are involved
  • The number of operations varies
  • All of the above

πŸ’‘ Hint: Think about how operations change based on grouping.

Question 2

True or False: The associative property guarantees the same number of operations regardless of multiplication order.

  • True
  • False

πŸ’‘ Hint: Reflect on how we multiply matrices.

Solve and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Given matrices of various dimensions, evaluate the computational cost of each multiplication order. Specifically, for matrices A(2x3), B(3x4), C(4x2), and D(2x5), determine which order minimizes the total operations.

πŸ’‘ Hint: Countdown from each split and compare the sums.

Question 2

Create a recursive function that implements the cost calculation method for any given set of matrix dimensions.

πŸ’‘ Hint: Use the structure we discussed in class to outline your function.

Challenge and get performance evaluation