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stanford-algorithms

This is a repository with the implementations from Stanford University's course Design and Analysis of Algorithms Part 1 and Part 2 by Prof. Tim Roughgarden on Coursera. The implementations are in C++ and Python and more will be added as I progress through the course.

Python Implementations

  1. Sorting
  • BubbleSort
  • InsertionSort
  • SelectionSort
  • ShellSort
  • MergeSort
  • QuickSort
    1. QuickSort(First element as pivot)
    2. Randomized QuickSort
    3. Deterministic QuickSort
  1. BinarySearch
  2. Counting Array Inversions
  3. Selection Problem(Selecting the ith statisctic)
  • Deterministic Selection
  • Randomized Selection
  1. Breadth First Search (Using networkX graphs)

C++ Implementations

  1. MergeSort
  2. Graphs(Both Directed and Undirected)
  • Adjecency List
  • Neightbours of a node
  • Breadth First Search
  • Depth First Search
  • Shortest Path Distance using BFS