Visualizers of Data Structures

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Linear Data Structures

Array

Collection of elements stored at contiguous memory locations

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Singly Linked List

Linear collection of nodes where each node contains data and reference to next node. In a singly linked list, each node only points to the next node (not the previous one, unlike a doubly linked list).

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Doubly Linked List

Doubly Linked List is a linear data structure where each node contains data and two pointers: one to the next node and one to the previous node.

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Circular Linked List

Circular Linked List is a linear data structure where the last node points back to the first node, forming a circle.

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Stack

Stack is a linear data structure that follows the LIFO (Last-In, First-Out) principle. Elements are added and removed from the same end, called the top of the stack.

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(Simple) Queue

(Simple) Queue is a linear data structure that follows the First-In-First-Out (FIFO) principle.

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Circular Queue

Circular Queue is a linear data structure that connects the end back to the beginning, forming a circle.

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Priority Queue

Priority Queue is an abstract data type where each element has an associated priority.

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Deque (Double-ended Queue)

Double-ended queue allowing insertion and deletion at both ends.

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Non-Linear Data Structures

Acyclic Graph

Acyclic Graph is a directed graph with no cycles (DAG). It is widely used in scheduling, dependency resolution, and more.

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Adjacency Matrix

Adjacency Matrix is a 2D array used to represent a graph. Each cell (i, j) indicates if there is an edge from node i to node j.

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Bipartite Graph

Bipartite Graph is a graph whose nodes can be divided into two disjoint sets such that every edge connects a node from one set to the other.

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Complete Graph

Complete Graph is a simple undirected graph in which every pair of distinct nodes is connected by a unique edge.

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Connected Graph

Connected Graph is a graph in which there is a path between every pair of nodes.

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Cyclic Graph

Cyclic Graph is a graph that contains at least one cycle, i.e., a path that starts and ends at the same node without repeating edges.

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Dense Graph

Dense Graph is a graph in which the number of edges is close to the maximum possible, i.e., close to n(n-1)/2 for n nodes.

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Directed Graph

Directed Graph (digraph) is a graph in which edges have a direction, going from one node to another.

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Disconnected Graph

Disconnected Graph is a graph in which at least two vertices are not connected by a path.

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List Representations

List Representation of a graph uses lists (arrays, linked lists, etc.) to store the neighbors of each node.

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Multigraph

Multigraph is a graph which is permitted to have multiple edges (also called parallel edges) between the same pair of nodes.

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Planar Graph

Planar Graph is a graph that can be drawn on a plane without any edges crossing.

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Sparse Graph

Sparse Graph is a graph in which the number of edges is much less than the maximum possible number of edges. Typically, a sparse graph has O(V) or O(V log V) edges, where V is the number of nodes.

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Undirected Graph

Undirected Graph is a graph where edges have no direction. Each edge simply connects two nodes, and the connection is bidirectional.

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Unweighted Graph

Unweighted Graph is a graph where all edges are considered equal; there are no weights or costs associated with the edges.

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Weighted Graph

Weighted Graph is a graph where each edge has an associated numerical value (weight), representing cost, distance, or capacity.

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Binary Tree

Binary Tree is a hierarchical data structure where each node has at most two children: left child and right child.

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Binary Indexed Tree

Binary Indexed Tree (Fenwick Tree) is a data structure that efficiently supports prefix sum queries and updates in O(log n) time.

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Binary Search Tree

Binary Search Tree (BST) is a binary tree where left child values are smaller than parent, and right child values are larger than parent.

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Red Black Tree

Red-Black Tree is a self-balancing binary search tree where each node has a color (red or black) and follows specific rules to maintain balance.

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AVL Tree

AVL Tree is a self-balancing binary search tree where the heights of two child subtrees of any node differ by at most one.

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B+ Tree

B+ Tree is a self-balancing tree data structure that maintains sorted data and allows searches, insertions, and deletions in logarithmic time.

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Heap

Complete binary tree satisfying heap property (min-heap or max-heap)

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N-ary Tree

N-ary Tree is a tree data structure where each node can have at most N children, generalizing binary trees.

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Trie

Tree-like structure for storing strings with common prefixes

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Quad Tree

QuadTree is a tree data structure for partitioning 2D space by recursively subdividing into four quadrants.

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Segment Tree

Suffix Tree is a compressed trie containing all suffixes of a given string.

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Suffix Tree

Segment Tree is a binary tree data structure for efficient range queries and updates on arrays.

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Hash-Based Structures

Hash Table

Data structure using hash function to map keys to array indices

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Hash Map

Key-value pair storage using hashing for O(1) average access time

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Hash Set

Collection of unique elements using hash function for fast lookup

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Tree Set

Tree Set is a sorted set implementation using a balanced binary search tree (Red-Black Tree).

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Bloom Filter

Bloom Filter

Space-efficient probabilistic data structure for membership testing

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Counting Bloom Filter

Extension of bloom filter that supports deletion operations

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Abstract Data Types

Priority Queue

Priority Queue is an abstract data type where each element has an associated priority.

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Disjoint Set (Union-Find)

Data structure for tracking disjoint sets with union and find operations

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Segment Tree

Segment Tree is a binary tree data structure for efficient range queries and updates on arrays.

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Fenwick Tree (Binary Indexed Tree)

Binary Indexed Tree (Fenwick Tree) is a data structure that efficiently supports prefix sum queries and updates in O(log n) time.

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