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algorithms-study

A collection of leetcode-style problems

Implemented in the order specified in the neetcode roadmap: https://neetcode.io/roadmap

In most cases, the solutions are implemented on golang. IMO, golang is low-level enough to gain a good understanding of algorithms, but without the added headache of manual memory management.

Implementations

  • Linked list
  • Queue
  • Stack
  • Graph
  • Tree
  • Binary search Tree
  • Max heap / priority queue
  • Binary serach
  • Quick sort
  • Merge sort
  • AVL Tree
  • BFS
  • DFS
  • Dynamic programming
    • longest common substring
    • Levenshtein distance
    • 0-1 Knapsack
    • coin change problem
    • Matrix chain multiplication
  • Greedy algorithms
    • Huffman coding
    • Dijkstra's shortest path
    • Kruskal's minimum spannign tree

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A collection of leetcode-style projects

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