Algorithms are step-by-step instructions designed to solve specific problems or perform calculations. They form the backbone of computer science and are essential for tasks like data processing, optimization, and automation. Here's a quick breakdown:

🔍 What is an Algorithm?

  • A finite sequence of well-defined steps
  • Input → Process → Output structure
  • Used in everyday applications (e.g., search engines, GPS navigation)
  • 📌 Example: Sorting a list of numbers

🧠 Common Algorithm Categories

  1. Sorting Algorithms

    • Bubble Sort
    • Quick Sort
    • Merge Sort
    Sorting_Algorithm

  2. Searching Algorithms

    • Linear Search
    • Binary Search
    • Hash Table Search
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  3. Graph Algorithms

    • Dijkstra's Algorithm
    • Kruskal's Algorithm
    • Bellman-Ford Algorithm
    Graph_Algorithm

🌍 Real-World Applications

  • Social Media Feeds: Algorithms prioritize content based on user engagement
  • E-commerce Recommendations: Machine learning-driven personalization
  • Weather Forecasting: Data analysis and predictive modeling
    Algorithm_Application

📚 Further Learning

For deeper insights, explore our algorithm tutorial or practice with algorithm exercises.

Stay curious! 🌟

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