Greedy Algorithms, Minimum Spanning Trees, and Dynamic Programming

External: Coursera Courses ↗ · Coursera

Open Course on External: Coursera

Free to audit · Opens on External: Coursera

Greedy Algorithms, Minimum Spanning Trees, and Dynamic Programming

Coursera · Intermediate ·⚡ Algorithms & Data Structures ·3mo ago

Key Takeaways

Explores greedy algorithms, minimum spanning trees, and dynamic programming

Original Description

The primary topics in this part of the specialization are: greedy algorithms (scheduling, minimum spanning trees, clustering, Huffman codes) and dynamic programming (knapsack, sequence alignment, optimal search trees).
Watch on External: Coursera ↗ (saves to browser)
Sign in to unlock AI tutor explanation · ⚡30

Related Reads

📰
The Minecraft anvil is a tree-cost optimization problem in disguise
Optimize tree costs in Minecraft using graph theory and algorithms, just like the anvil repair system
Dev.to · Mark
📰
KMP Algorithm (Knuth-Morris-Pratt): The Smart Way to Perform String Matching in O(N)
Learn the KMP algorithm for efficient string matching in O(N) time complexity and improve your coding skills
Dev.to · Jaspreet singh
📰
Every Backtracking Problem Is the Same Three Lines. I Just Couldn't See the Tree.
Master backtracking problems with a simple three-line approach to improve problem-solving skills in coding interviews and challenges
Dev.to · Alex Mateo
📰
DSA From Zero to Hero #3: Sliding Window (Fixed Size) Explained With a Java Example
Learn to solve subarray problems efficiently using the sliding window technique, a crucial skill for software engineers and data scientists
Medium · Programming
Up next
Stump Grinder Carbide Wheel Grinds Hardwood To Chips
Innoforge Studio
Watch →