분류:Algorithm: 두 판 사이의 차이

Category:Algorithm includes various algorithms used in computer science, mathematics, and data processing. Algorithms are step-by-step procedures or formulas for solving problems efficiently.

Subcategories[편집 | 원본 편집]

Algorithms can be categorized into different types based on their application and technique:

• Sorting Algorithms – Algorithms that arrange elements in a specific order (e.g., Merge Sort, Quick Sort, Heap Sort).
• Graph Algorithms – Algorithms for graph traversal, shortest path, and network analysis (e.g., Dijkstra's Algorithm, A* Algorithm).
• Divide-and-Conquer Algorithms – Algorithms that break a problem into smaller subproblems (e.g., Merge Sort, Karatsuba Multiplication).
• Dynamic Programming – Algorithms that solve problems by breaking them into overlapping subproblems (e.g., Fibonacci Sequence (DP), Knapsack Problem).
• Search Algorithms – Techniques to locate data within a structure (e.g., Binary Search, Depth-First Search, Breadth-First Search).
• Machine Learning Algorithms – Algorithms used in AI and data science (e.g., K-Means Clustering, Gradient Descent).

Importance of Algorithms[편집 | 원본 편집]

• Efficiency: Helps solve computational problems optimally.
• Automation: Forms the backbone of modern software applications.
• Scalability: Enables processing of large datasets in reasonable time.