Introduction: Stacks and Queues

Welcome to an exciting exploration of two fundamental data structures: Stacks and Queues! Remember, data structures store and organize data in a manner that is structured and efficient. Stacks and Queues are akin to stacking plates and standing in a line, respectively. Intriguing, isn't it? Let's dive in!

ArrayDeque in Kotlin

ArrayDeque (Double-Ended Queue) is a versatile data structure that combines the features of both Stack and Queue. It provides efficient methods for adding and removing elements from both ends of the collection:

  • Stack Operations:
    • addLast(): Adds an element to the end (top of stack)
    • removeLast(): Removes and returns the last element (top of stack)
  • Queue Operations:
    • addLast(): Adds an element to the end of queue
    • removeFirst(): Removes and returns the first element

Additional useful methods include:

  • isEmpty(): Checks if the collection is empty
  • size: Returns the number of elements
  • first(): Views the first element without removing it
  • last(): Views the last element without removing it
Stacks: Last In, First Out (LIFO)

A Stack adheres to the "Last In, First Out" or LIFO principle. It's like a pile of plates where the last plate added is the first one to be removed. Kotlin uses ArrayList to create a stack, with add() used for push, and removeAt(size - 1) used for pop.

A Stack adheres to the "Last In, First Out" or LIFO principle. Let's explore this using a pile of plates:

In this implementation:

  1. We use ArrayDeque to store our plates
  2. addPlate() uses addLast() to push a plate onto the top of the stack
  3. removePlate() uses removeLast() to pop the top plate off the stack
  4. We check for empty stack to prevent errors
  5. The main function demonstrates how the last plate added is the first one removed (LIFO principle)
Queues: First In, First Out (FIFO)

A Queue represents the "First In, First Out" or FIFO principle, much like waiting in line at the grocery store. In Kotlin, ArrayDeque provides efficient implementation of queues with addLast() for enqueue and removeFirst() for dequeue operations.

Let's examine this through a queue of people:

In this implementation:

  1. We use ArrayDeque to store our queue of people
  2. enqueuePerson() uses addLast() to add a person to the end of the queue
  3. dequeuePerson() uses removeFirst() to remove the person at the front of the queue
  4. We check for empty queue to prevent errors
  5. The main function demonstrates how the first person added (Person 1) is the first one removed (FIFO principle)

The ArrayDeque implementation provides efficient O(1) operations for both adding and removing elements, making it an excellent choice for queue operations.

Stacks and Queues: When and Where to Use?

Stacks handle ordered data efficiently, much like your web browser's history. Queues, on the other hand, are optimal when the order of arrival is essential, such as in a store queue.

Mastering Stack and Queue Operations With a Class

Let's depict the two structures in a text editor that features an Undo mechanism (a Stack) and a Print Queue.

This code reintroduces the concepts of a Stack (Undo feature) and Queue (Print queue) in the context of a real-life scenario.

Lesson Summary

Great work! You have examined the mechanics of Stacks and Queues, both integral data structures. Remember to practice what you've learned. Happy coding!

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