Introduction
This article explains how to implement fundamental data structures in Java: Stacks, Queues and Binary Search Trees (BSTs). These structures help efficiently organize, search and manipulate integer data.
IDE Requirements
To practice these data structures, you need:
Diagram
The diagram shows a Java class structure with IntLinkedStack, IntLinkedQueue, IntBinarySearchTree and their interfaces: IntStack, IntQueue, IntBST.
Assignment Details
These methods are commonly implemented in stacks, queues and BSTs to manage and analyze integer data:
- add: Inserts a new integer into the structure.
- remove: Deletes an element of the data structure.
- peek: Returns the element from the data structure.
- isEmpty: Checks if the structure contains no elements.
- size: Returns the number of elements in the structure.
- sum: Calculates the sum of all stored integers.
- average: Computes the mean value of the elements.
- minimum: Finds the smallest integer.
- maximum: Finds the largest integer.
- linearSearch: Searches for a given integer and returns its index.
- sumOfSquares: Calculates the sum of the squares of all elements.
- count: Counts the occurrences of a specific integer.
- countEven: Counts how many integers are even.
- countOdd: Counts how many integers are odd.
Understanding these methods helps you implement efficient operations, perform calculations and traverse data structures effectively.
Data Structure Implementations
- Queue: Follows FIFO: first in, first out. Useful for scheduling tasks.
- Stack: Follows LIFO: last in, first out. Useful for undo operations and recursion.
- Binary Search Tree: Organizes data hierarchically for efficient insertion, deletion and search.
Example Application
The LinkedDataStructureApp.java demonstrates the usage of linked stacks, queues and BSTs. Try running it and observe how integers are added, removed and processed.
- Queue Implementation: IntLinkedQueue.java, IntQueue.java
- Stack Implementation: IntLinkedStack.java, IntStack.java
- BST Implementation: IntBST.java, IntBinarySearchTree.java
- Application: LinkedDataStructureApp.java
- Exception Handling: EmptyCollectionException.java
Conclusion
Mastering these linked data structures strengthens algorithmic thinking, improves problem-solving skills and demonstrates the power of abstraction in Java programming.