Algo-competitive

Data Structures and Algorithms

-My journey Learning DSA.

Data Structures:

As the name itself suggests Data structures are a way to organise data so that retrival, updation, deletion and insertion could be done efficiently.

Some basic Data Structures:

• Array
• Linked List
• Stack and Queue
• Trees and Graphs

Algorithms:

Telling computing systems a step by step process to solve some problem.

There are some commonly used Algorithmic techniques

• Algorithmic Paradigms:
  • Greedy
  • Recursion
  • Divide and Conquer
  • Brute Force Search
  • Dynamic Programming
  • Backtracking
  • Branch and Bound
  • There are many more but these are mostly used and relevant for general purpose programming.
• Searching Algorithms:
  • Linear Search
  • Binary Search
  • Ternary Search
  • Graph Search:
    • Breadth First Search(BFS)
    • Depth First Search(DFS)
• Sorting Algorithms:
  • Bubble Sort
  • Insertion Sort
  • Selection Sort
  • Quick Sort
  • Merge Sort
  • Heap Sort
  • Numerous other sorting techniques are available these feels relevant to me.