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UBA Algorithm Design Techniques (TDA)

This repository contains my personal implementations and solutions for the Algorithm Design Techniques course at the University of Buenos Aires.

🧠 Topics Covered

  • Dynamic Programming: Optimization and sub-problem decomposition.
  • Greedy Algorithms: Local optimal choices for global solutions.
  • Graph Theory: BFS, DFS, Dijkstra, and Flow Networks.
  • Backtracking: State-space search and pruning.

📂 Structure

The solutions are organized by "Guías" (Problem Sets), covering theoretical and practical applications of data structures and complex algorithms.

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Algorithm implementations and problem-solving for the B.S. in Data Science curriculum at UBA.

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