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Algorithms Theory

The focus of the subject is to learn and understand in depth the theory and practical use of some algorithms techniques, such as:

  • Divide and Conquer
  • Greedy and their advantages and disadvantages when using them.
  • Dynamic Programming with some well-known problems, like the Knapsack problem, Subset Sum, etc.
  • Backtracking and the resolution of the N-queens, K-Coloring, etc.
  • Flow Networks by the use of Ford-Fulkerson algorithm.

Also, it introduce the Classes Complexity:

  • P
  • NP
  • NP-Complete
  • NP-Hard
  • P-SPACE

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