Show (depict an algorithm or describe in words) how to implement a queue using two stacks. Analyze the running time of the basic queue operations.
Show (depict an algorithm or describe in words) how to implement a queue using two stacks. Analyze the running time of the basic queue operations.
Computer Networking: A Top-Down Approach (7th Edition)
7th Edition
ISBN:9780133594140
Author:James Kurose, Keith Ross
Publisher:James Kurose, Keith Ross
Chapter1: Computer Networks And The Internet
Section: Chapter Questions
Problem R1RQ: What is the difference between a host and an end system? List several different types of end...
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Transcribed Image Text:**Implementing a Queue using Two Stacks**
**Objective:** Show (depict an algorithm or describe in words) how to implement a queue using two stacks. Analyze the running time of the basic queue operations.
**Overview:**
When implementing a queue using two stacks, we utilize the stack's Last In First Out (LIFO) property to mimic the queue's First In First Out (FIFO) behavior. The implementation involves two primary operations:
1. **Enqueue (add an item to the queue):**
- Push the item onto the first stack.
2. **Dequeue (remove an item from the queue):**
- If the second stack is empty, transfer all items from the first stack to the second stack.
- Pop the item from the second stack.
**Algorithm Steps:**
1. **Enqueue Operation (push):**
- Stack1.push(x); // Add an item to Stack1
2. **Dequeue Operation (pop):**
- If Stack2 is empty, then while Stack1 is not empty,
- Stack2.push(Stack1.pop()); // Transfer all items from Stack1 to Stack2
- Stack2.pop(); // Remove and return the item from Stack2
**Time Complexity Analysis:**
- **Enqueue Operation:** O(1) in the average case. Each enqueue operation involves a single push to Stack1.
- **Dequeue Operation:** Amortized O(1). While moving elements from Stack1 to Stack2 is O(n) in the worst case, this is not performed on every dequeue operation. Across a sequence of operations, each element is moved at most once, leading to an average of O(1) per operation.
This method efficiently uses two stacks to perform queue operations while maintaining optimal average time complexity.
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