Practice Recursive Cost Calculation (44.1.5) - Matrix multiplication - Data Structures and Algorithms in Python
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Recursive Cost Calculation

Practice - Recursive Cost Calculation

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Practice Questions

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Question 1 Easy

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

💡 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?

💡 Hint: What does associative mean?

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

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

💡 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

💡 Hint: Reflect on how we multiply matrices.

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Challenge Problems

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Challenge 1 Hard

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.

💡 Hint: Countdown from each split and compare the sums.

Challenge 2 Hard

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

💡 Hint: Use the structure we discussed in class to outline your function.

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