Current Topic — Greedy Algorithm

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Connected Topic(s):

🔥 ← Kruskal Algorithm

🌟 ← Graph Cost

⚡️ ← Basics Of Computer Science

⚡️ ← Algorithms

⚡️ ← Introduction To Algorithms

⚡️ ← Minimum Spanning Tree

⚡️ ← Prim Algorithm

Greedy Algorithm

code algorithms data_structures basics_of_computer_science python

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algorithms data structures optimization graph algorithms greedy complexity dynamic programming python

Related Topic(s):

🔥 Minimum Spanning Tree → MST algorithms (e.g., Kruskal and Prim) rely on greedy selection—choosing the locally optimal edge guided by cut/cycle properties—to construct the tree, so MST computation is enabled by the greedy paradigm.

🔥 Kruskal Algorithm → Kruskal relies on the greedy paradigm by repeatedly selecting the lightest edge that does not form a cycle; its design and correctness depend on greedy-choice and cut properties.

🔥 Dijkstra Algorithm → Dijkstra's algorithm applies the greedy-choice property by always expanding the minimum-current-distance unvisited vertex (via a priority queue); with non-negative edge weights, these local choices yield globally optimal shortest paths.

Huffman Coding →

Boruvka Algorithm →

Prim Algorithm →