Practice Complexity Analysis - 6.6 | 6. Matrix Multiplication | Design & Analysis of Algorithms - Vol 3
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Complexity Analysis

6.6 - Complexity Analysis

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Practice Questions

Test your understanding with targeted questions

Question 1 Easy

What is a requirement for two matrices to be multiplied?

💡 Hint: Think about the dimensions of both matrices.

Question 2 Easy

What is the computational cost of multiplying a 5x3 matrix with a 3x2 matrix?

💡 Hint: Use the formula: rows_A * cols_A * cols_B.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

How many computations does it take to multiply matrices A (m x n) and B (n x p)?

O(m*n*p)
O(n)
O(m+n)

💡 Hint: Consider the dimensions' multiplication in your calculations.

Question 2

True or False: Matrix multiplication is commutative.

True
False

💡 Hint: Think about matrix properties and examples to support your answer.

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Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

Calculate the minimum number of multiplications needed for matrices A (10x100), B (100x5), C (5x50), D (50x200) using dynamic programming principles.

💡 Hint: Evaluate each combination to find the least expensive set of operations.

Challenge 2 Hard

Describe how the choice of multiplication order impacts the dimensions of intermediate matrices and the overall cost. Give an example with specific sizes.

💡 Hint: Illustrate using dimensions and remember that earlier combinations can lead to bigger matrices.

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