Practice Adding Edges to a Tree - 2.4.2 | 2. Minimum Cost Spanning Trees | Design & Analysis of Algorithms - Vol 2
Students

Academic Programs

AI-powered learning for grades 8-12, aligned with major curricula

Professional

Professional Courses

Industry-relevant training in Business, Technology, and Design

Games

Interactive Games

Fun games to boost memory, math, typing, and English skills

Adding Edges to a Tree

2.4.2 - Adding Edges to a Tree

Enroll to start learning

You’ve not yet enrolled in this course. Please enroll for free to listen to audio lessons, classroom podcasts and take practice test.

Learning

Practice Questions

Test your understanding with targeted questions

Question 1 Easy

What is the definition of a tree in graph theory?

💡 Hint: Think about connectivity and cycles.

Question 2 Easy

How many edges are in a tree with 6 vertices?

💡 Hint: Use the formula n-1.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What does a tree have that makes it different from other graphs?

Multiple paths between vertices
No cycles allowed
It must have weights

💡 Hint: Focus on the definition of a tree.

Question 2

Is a Minimum Cost Spanning Tree the same as any spanning tree?

True
False

💡 Hint: Consider what makes a spanning tree minimum.

Get performance evaluation

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

Given a graph with 5 vertices and edges of varying costs. How would you implement Prim's algorithm to find the MCST? Illustrate the steps sequentially.

💡 Hint: Always choose edges that keep you connected and cost-efficient.

Challenge 2 Hard

Provide a real-world example of a situation where Kruskal's algorithm might be more beneficial than Prim's algorithm.

💡 Hint: Consider scenarios involving wireless networks or cable laying.

Get performance evaluation

Reference links

Supplementary resources to enhance your learning experience.