Contains the solutions for the programming questions in the CodingNinjas Java+DSA course

I've written some important Algorithms and Data Structures in an efficient way in Java with references to time and space complexity. These Pre-cooked and well-tested codes help to implement larger hackathon problems in lesser time. DFS, BFS, LCA, LCS, Segment Tree, Sparce Table, All Pair Shortest Path, Binary Search, Matching and many more ...

Code examples demonstrating the complexity classes O(1), O(log n), O(n), O(n log n), O(n²).

This project is to provide an easy-to-understand overview of Java Collections framework which is actively used by developers, interviewers, interviewees, and so on. I am not aiming to describe all classes which implement Java Collection Interface, but instead, tried to explain how representative classes work internally and how those mechanisms a…

This repository is dedicated to studying and mastering Data Structures and Algorithms (DSA) using the Java programming language. It serves as a comprehensive resource for learning essential DSA concepts and their implementation in Java, covering everything from basic data structures to advanced algorithms.

Solving a Problem [less Time and Space complexity]

Graphs runtime efficiency of various methods reflexively

Algorithms with Programming Concepts in Java!

Solutions for array related problems

Profundizar conceptos de árboles, aprender a implementar nuevas estructuras de datos como árboles generales y grafos (recorridos, ordenamientos...). Medir la eficiencia de los algoritmos con formalismo matemático.

This repository is a well-structured collection of Data Structures and Algorithms (DSA) in Java. It provides optimized code, detailed notes, and hands-on problem-solving exercises to help developers and students master DSA concepts effectively.

Program that simulates sorting arrays with multiple threads and different algorithms

Java based fundamental concepts, data structures, and algorithms to solve coding problems effectively, with a focus on interview preparation.

This repository provides a comprehensive roadmap for learning Data Structures and Algorithms (DSA)📊 from the ground up. It covers essential topics required for ☉ competitive programming, 📗 technical interviews, and real-world ✔ software development.

Time Complexity Visualizer would help to visualize time complexity of an any algorithm by defining it in function and then passing the number of data points to the visualizer function

Boggle word game implemented using alternative approaches each with a different time complexity

Maximum subarray problem. Brute Force, Divide and Conquer, Kadane's Algorithm

9 Fibonacci Algorithms

This Repository contain Data Structure and Algorthims related material, problems and their solution in Java Programming Language

Marist College CMPT220L - Software Development I by Professor Schwartz