🎉 Algorithms Resource Center

Here’s a curated guide to algorithms, their types, and applications. Explore the world of algorithmic thinking!

🧠 What are Algorithms?

Algorithms are step-by-step procedures designed to solve specific problems or perform calculations. They form the backbone of computer science and data analysis.

  • Key Characteristics:
    • Finiteness (terminate after finite steps)
    • Definiteness (each step is precisely defined)
    • Input/Output (accept inputs and produce outputs)
    • Effectiveness (each step is executable)
Algorithm Diagram

📚 Common Algorithm Categories

  1. Sorting Algorithms

    • Bubble Sort
    • Quick Sort
    • Merge Sort
    • Radix Sort
    Sorting Algorithm Example

  2. Search Algorithms

    • Linear Search
    • Binary Search
    • Depth-First Search (DFS)
    • Breadth-First Search (BFS)
    Search Algorithm Visualization

  3. Graph Algorithms

    • Dijkstra’s Algorithm
    • Kruskal’s Algorithm
    • Bellman-Ford Algorithm
    Graph Algorithm Illustration

🌐 Applications of Algorithms

  • Machine Learning: Training models using gradient descent or decision trees.
  • Web Development: Routing algorithms for dynamic page loads.
  • Blockchain: Consensus algorithms like Proof of Work.

Explore more tutorials on our Algorithm Tutorials Page.

📖 Further Reading

Data Structure Examples

Let me know if you’d like to dive deeper into any specific algorithm!