Graphs: Implementation and Algorithms
Information Technology · University of Applied Sciences · Data Structures and Algorithms
This unit delves into the implementation of graphs using adjacency lists and matrices. It covers essential algorithms such as BFS, DFS, and minimum spanning tree algorithms, providing a solid foundation for understanding graph theory and its applications.
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Das gehört dazu
- Graph Terminology and Representations
- Breadth-First Search (BFS)
- Depth-First Search (DFS)
- Minimum Spanning Trees
- Kruskal's Algorithm
- Prim's Algorithm
- Graph Applications
Stichworte
- Graphs
- BFS
- DFS
- MST
- Adjacency List
- Adjacency Matrix
- Graph Traversal
- Minimum Spanning Tree
- Data Structures
- Algorithms
Weitere Themen in Data Structures and Algorithms
- Definition and Overview of Data Structures and Algorithms
- Time Complexity and Space Complexity Analysis
- Arrays: Implementation and Operations
- Linked Lists: Implementation and Operations
- Stacks: Implementation and Applications
- Queues: Implementation and Applications
- Trees: Implementation and Traversal Algorithms
- Sorting Algorithms: Bubble Sort, Insertion Sort, Merge Sort, Quick Sort