Skip to main content

Queue Applications

Essential applications of queue data structure for solving various algorithmic problems.

BFS implementation​

  • Breadth-First Search: Level-by-level traversal using queue
  • Tree BFS: Level-order traversal of trees
  • Graph BFS: BFS traversal of graphs
  • Shortest Path: Finding shortest path in unweighted graphs

Sliding window maximum​

  • Deque Approach: Using double-ended queue for optimization
  • Monotonic Deque: Maintaining decreasing order
  • Time Complexity: O(n) solution for sliding window maximum
  • Applications: Maximum in sliding window problems

Task scheduling​

  • Round Robin: CPU scheduling using queue
  • Priority Scheduling: Task scheduling with priorities
  • FIFO Scheduling: First-in-first-out task processing
  • Resource Allocation: Managing shared resources

Level-order traversal​

  • Tree Traversal: Level-by-level tree traversal
  • Binary Tree: Level-order traversal of binary trees
  • N-ary Tree: Level-order traversal of n-ary trees
  • Zigzag Traversal: Alternating left-to-right and right-to-left

Circular queue​

  • Circular Buffer: Efficient circular queue implementation
  • Fixed Size: Queue with fixed capacity
  • Overflow Handling: Handling queue overflow
  • Underflow Handling: Handling queue underflow