An array is java can be one-dimensional, two-dimensional, or multi-dimensional. Individual elements of an array having variable name arr and having size 10 are as follows: arr [0], arr [1], arr [2], arr [3]……………………, arr [9].
Linked list maintains a list in memory and is a collection of elements called nodes. This is a dynamic data structure that is its size is not fixed. Linked list has a head node and a tail node and each available node in a linked list contain a pointer to its adjacent node. It is to be noted that nodes of a linked list are present at non-contiguous locations in memory. It is a dynamic data structure in which insertion of a new element and deletion of an existing element is allowed to be done only at one end.
The stack can be implemented in most programming languages and hence it is considered as an abstract data type ADT. This is also an abstract data type like stack and can be implemented in most programming languages. This is a dynamic data structure that follows the first in first out FIFO strategy which means an element that is inserted first will be removed first.
The queue has two ends named front end and rear ends. In a queue, insertion can be done at the rear end and deletion can be done at the front end. Tree data structure is based on the parent-child relationship.
Share on:. Did you find this article helpful? Sorry about that. How can we improve it? Leave this field blank. Related Examples. Java Example Implement stack data structure. Java Example Get the middle element of LinkedList in a single iteration. Java Example Implement LinkedList. Java Example Remove elements from the LinkedList. In this structure, new elements are inserted at one end and existing elements are removed from the other end.
Priority queue: Priority queue is a queue, with each element having a priority associated with it. The implementation can use ordered array, unordered array, and heap. Max-Heap: A heap is a tree-based data structure in which all the nodes of the tree are in a specific order.
Max-heap is a binary tree. It is complete. The data item stored in each node is greater than or equal to the data items stored in its children. Min-Heap: Min-heap is a binary tree. The data stored in each node is less than the data items stored in its children.
Trie: A Trie is a tree. In a trie, every node except the root node stores one character or a digit. By traversing the trie down from the root node to a particular node n, a common prefix of characters or digits can be formed which is shared by other branches of the trie as well. Suffix trie: Suffix trie is a trie containing all the suffixes of the given text. Suffix trie allows particularly fast implementations of many important string operations. ArrayList: ArrayList class is a resizable-array implementation of the List interface.
It implements all optional list operations and permits all elements. Download ArrayList methods examples. Vector: Vector is very similar to ArrayList but Vector is synchronised and slow.
It is a legacy class. If you think of it, it naturally models the hierarchy of a directory structure. Stack Overflow for Teams — Collaborate and share knowledge with a private group. Create a free Team What is Teams? Collectives on Stack Overflow. Learn more. Data structure to use for a basic file system Ask Question. Asked 7 years, 10 months ago. Active 7 years, 10 months ago. Viewed 2k times. This all has to be done without using the Collections library I was curious to what data structures I would use to implement this file system?
B tree would be much more memory efficient. However look up times would be slower. Or possibly both?
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