Java data structures include arrays, linked lists, stacks, queues, collection frames, trees, graphs, heaps, hash tables, queues, etc. Detailed introduction: 1. Array: Array is a basic data structure used to store elements of the same type. It has a fixed size, and once created, the size cannot be changed; 2. Linked List: A linked list is a linear data structure composed of nodes. Each node contains data and a reference to the next node. There are two forms: singly linked list and doubly linked list; 3. Stack and so on.
Operating system for this tutorial: Windows 10 system, Dell G3 computer.
Java provides a rich set of data structures, some of which are built into the Java standard library, while others are available through other libraries or frameworks. The following are some common data structures in Java:
Array: Array is a basic data structure used to store elements of the same type. It has a fixed size and once created, the size cannot be changed.
Linked List: A linked list is a linear data structure composed of nodes. Each node contains data and a reference to the next node. There are two forms: singly linked list and doubly linked list.
Stack (Stack): The stack is a last-in-first-out (LIFO) data structure that only allows insertion and deletion operations at one end. Can be used to implement method calls, expression evaluation, etc.
Queue: Queue is a first-in-first-out (FIFO) data structure that allows insertion operations at one end and deletion operations at the other end. There are ordinary queues (Queue) and double-ended queues (Deque) in Java.
Collection Framework: Java provides a rich set of collection frameworks, including List, Set, Map, etc. Common implementations include ArrayList, LinkedList, HashSet, TreeSet, HashMap, etc.
Tree: Data structures such as binary trees and red-black trees in Java are used to implement various collections and mappings.
Graph (Graph): A graph is a data structure used to represent relationships between elements. In Java, graphs can be represented using adjacency matrices or adjacency lists.
Heap: Heap is a special tree data structure often used to implement priority queues. PriorityQueue in Java is a heap-based priority queue implementation.
Hash Table: HashMap and HashTable in Java are mapping data structures based on hash tables, providing fast search and insertion operations.
Queue (Queue): Java provides the Queue interface, and there are many implementation classes, such as LinkedList, PriorityQueue, etc., used to implement different types of queues.
These data structures provide a wealth of choices, and developers can choose the appropriate data structure based on the needs of the application.
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