Implementation of Algorithms and Data Structures, Problems and Solutions
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Updated
Oct 27, 2023 - Java
Implementation of Algorithms and Data Structures, Problems and Solutions
🌳 This repository is dedicated to the Binary Search Tree (BST) data structure, featuring a comprehensive demo of all its functionalities including insertion, deletion, search, and traversal operations. It serves as an educational resource for understanding BSTs in depth, offering code examples and explanations suitable for students and developers.
Data structures in Java
This is a repository for WPI CS 2102 Object-Oriented Design Concepts for B-Term 2016
My solutions for the Leetcode problems in Java 🤖
Java Data Structures Lab – Binary Search Trees Module: Explore building, traversing, and manipulating BSTs in Java, including insertion, search, deletion (with inorder successor/predecessor), and student activities for validating, finding min/max, counting nodes in range, and converting sorted arrays to BST.
Well documented, easy to use and well-tested Data Structures. Suitable for academic use.
A new set of lossy and lossless graph compression techniques for external memory representation.
Example of implementing data structures in Java
Answers to Data Structure and Algorithm problem sets from http://codeforces.com, CTCI, and https://leetcode.com all in Java
Java Data Structures Lab – Binary Trees Module: Learn to build, traverse, and analyze binary trees in Java, including preorder, inorder, postorder, level-order traversals, tree height, height-balanced checks, and LCA, with step-by-step examples and student activities.
Classical Algorithm and Data Structure Problems
This repository contains all the exercises developed for Data Structures' course [GIISOF01-2-003] at EII (UniOvi) during 2018-2019's course.
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