tree data structure - OpenGenus IQ: Computing Expertise & Legacy

Mean of Array problem solved with Treap

In this article at OpenGenus, we have solved the Mean of Array problem using Treap Data Structure.

B Tree in Python using OOP Concepts

In this article at OpenGenus, we will explore the implementation of a B-tree in Python using the principles of Object-Oriented Programming (OOP). By utilizing classes and objects, we'll create a B-tree structure that supports efficient insertion, searching, and display operations.

Graph Algorithms

Depth Limited Search

In this article, we have explored Depth Limited Search algorithm which is a restricted version of Depth First Search (DFS).

Data Structures

Introduction to Tree Data Structure

In this article, we have presented a detailed introduction to Tree Data Structure. This will quickly give you the idea of Tree, how it is implemented and the different types that are used.

Algorithms

Data Structure for Spreadsheet / Excel

In this article, we have explored several Data Structures that are used in Spreadsheet / Excel Sheet. These involve ideas like Sparse Matrix, AVL Tree and much more.

Time Complexity

Time and Space Complexity of Red Black Tree

In this article, we will look at the Time and Space Complexity analysis of various Red-Black Tree operations including searching, inserting, and deleting for worst, best, and average cases.

Algorithms

Construct BST from pre-order traversal (using monotonic stack; no recursion)

This article discusses on a way in which, Binary Search Tree (BST) can be reconstructed when corresponding pre-order traversal of the tree is input, using a concept of monotonic stack.

Data Structures

Basics of R Tree

R-tree is an advanced height-balanced Tree Data Structure that is widely used in production for spatial problems (like geographical map operations). We have presented the need for R Tree along with the basics of R Tree

Problems on Binary Tree

Finding Diameter of a Tree using DFS

In this article, we will be discussing how to find the diameter of a tree or graph using Depth First Search (DFS).

Problems on Binary Tree

Diameter of a Binary Tree

In this problem, we are given input as the reference to the root of a binary tree. We need to find the diameter of the tree. We find the diameter using recursion and Depth First Search (DFS).

Problems on Binary Tree

Algorithm to find Level of each node from root node

In this article we will be discussing on how to find the level of each node in a graph, the algorithm that we will be using to find the level of each node is breadth first search.

Problems on Binary Tree

Counting subtrees where nodes sum to a specific value

We will learn about counting the subtrees in a binary tree whose nodes sum to a given value. We will be trying different methods to solve our problem We will solve it in O(N) time complexity and O(H) space complexity where N is number of nodes and H is the height of the tree.

Data Structures

Different Self Balancing Binary Trees

A self-balancing binary tree is any tree that automatically keeps its height small in the face of arbitrary insertions and deletions on the tree. We have explored different types like 2 3 tree, Red Black tree, AVL Tree, B Tree, AA Tree, Scapegoat Tree, Splay Tree, Treap and Weight Balanced Tree.

Data Structures

Introduction to 2-3 Trees

A 2-3 Tree is a tree data structure where every node with children has either two children and one data element or three children and two data elements. A node with 2 children is called a 2-NODE and a node with 3 children is called a 3-NODE.

Data Structures

Implementing a Binary Search Tree (BST) in C++

In this article, we have explained the idea of implementing Binary Search Tree (BST) from scratch in C++ including all basic operations like insertion, deletion and traversal.

Data Structures

Introduction to AA trees

AA trees were introduced by Arne Andersson in 1993 and hence the name AA. They are a type of balanced binary search trees. It was developed as a simpler alternative to Red Black trees.

Problems on Binary Tree

Implementing Binary tree in C++

In this article, we have explored how to implement Binary Tree Data Structure in C++ including all different operations like traversing, inserting and deleting. We have used Object Oriented Programming (OOP) concepts.

Data Structures

Space partitioning trees

Space partitioning trees are tree data structures that partition a N-dimensional data space into different components for specific tasks. Examples of Space partitioning trees include Binary Space Partitioning tree, Octree and many more.

Data Structures

Burkhard Keller Tree (BK Tree)

Burkhard Keller Tree (BK-Tree) is a Tree Data Structure that is used to find the near-matches to a String Query. It is used in several applications like spell correction and autocompletion.

Data Structures

Interval Trees: One step beyond BST

Interval tree is a variant of BST and is able to handle intervals in logarithmic time for search, insert and delete operations and is used in geometry.

Data Structures

Persistent Segment Tree

Our aim is to introduce persistency in segment trees but also ensure that the space and time complexity is not affected.

Data Structures

Rope: the Data Structure used by text editors to handle large strings

Rope data structure is widely used by software such as text editors like Sublime, email systems like Gmail and text buffers to handle large strings efficiently.

Data Structures

Count inversions in an array using Fenwick Tree

Fenwick tree is usually used for range query problems but it can be used to solve the problem of finding the number of inversions in an array efficiently.

Data Structures

Understanding Fenwick tree (Binary Indexed Tree) with Range product

Fenwick tree is a tree based data structure that is widely used to solve range query problems in logarithmic time O(log N) which would otherwise have taken linear time O(N). In this article, we have explained it in depth using the range product query problem.

Problems on Binary Tree

Learn how to traverse a Binary Tree (Inorder , Preorder , Postorder)

In this article we will learn three Depth first traversals namely inorder, preorder and postorder and their use. These three types of traversals generally used in different types of binary tree. In summary, Inorder: left, root, right; Preorder: root, left, right and Postorder: left, right, root