분류:Algorithm
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AlanTuring (토론 | 기여)님의 2025년 2월 3일 (월) 02:55 판 (새 문서: '''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== 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''' – Algorith...)
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.
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