Memory Representation

Memory representation and basic operations for some common data structures are as follows:

1. Arrays:

  • Memory Representation: Contiguous block of memory where elements are stored sequentially.
  • Basic Operations:
    • Accessing elements by index: array[index]
    • Insertion at the end: array.append(value)
    • Deletion by index: del array[index]
    • Finding length: len(array)

2. Linked Lists:

  • Memory Representation: Nodes containing data and a pointer/reference to the next node.
  • Basic Operations:
    • Insertion at the beginning:
      new_node = Node(value)
      new_node.next = head
      head = new_node
      
    • Deletion at the beginning:
      temp = head
      head = head.next
      temp.next = None
      
    • Traversal:
      current = head
      while current is not None:
          print(current.data)
          current = current.next
      

3. Stacks:

  • Memory Representation: Can be implemented using arrays or linked lists.
  • Basic Operations:
    • Push (Insertion): stack.push(value)
    • Pop (Deletion): stack.pop()
    • Peek (Access top element): stack.peek()
    • Checking if empty: stack.is_empty()

4. Queues:

  • Memory Representation: Can be implemented using arrays or linked lists.
  • Basic Operations:
    • Enqueue (Insertion): queue.enqueue(value)
    • Dequeue (Deletion): queue.dequeue()
    • Peek (Access front element): queue.peek()
    • Checking if empty: queue.is_empty()

5. Trees:

  • Memory Representation: Nodes containing data and references/pointers to child nodes.
  • Basic Operations:
    • Insertion:
      • Binary Search Tree: Recursively traverse and insert based on comparison with node values.
    • Deletion:
      • Binary Search Tree: Replace with successor or predecessor node.
    • Traversal:
      • In-order, Pre-order, Post-order traversal algorithms.

6. Graphs:

  • Memory Representation: Adjacency list or adjacency matrix.
  • Basic Operations:
    • Insertion of vertices and edges.
    • Deletion of vertices and edges.
    • Traversal: Depth-first search (DFS), Breadth-first search (BFS).

These are basic representations and operations for each data structure. The actual implementation details may vary based on language and specific requirements.