There are 8 repositories under greedy-algorithms topic.
CLRS study. Codes are written with golang.
A repository of different Algorithms and Data Structures implemented in many programming languages.
The official repository for our programming kitchen which consists of 50+ delicious programming recipes having all the interesting ingredients ranging from dynamic programming, graph theory, linked lists and much more. All the articles contain beautiful images and some gif/video at times to help clear important concepts.
Algo-Tree is a collection of Algorithms and data structures which are fundamentals to efficient code and good software design. Creating and designing excellent algorithms is required for being an exemplary programmer. It contains solutions in various languages such as C++, Python and Java.
Collection of Abhishek Agrawal's gists solutions for problems on https://www.interviewbit.com
Implementation of various Data Structures and algorithms - Linked List, Stacks, Queues, Binary Search Tree, AVL tree,Red Black Trees, Trie, Graph Algorithms, Sorting Algorithms, Greedy Algorithms, Dynamic Programming, Segment Trees etc.
This will have all the solutions to the competitive programming course's problems by Coding ninjas. Star the repo if you like it.
Go Data Structures and Algorithms is an open source tool for learning and rehearsing data structures and algorithms in Go.
InterviewBit Solutions
A collection of classical algorithms and data-structures implementation in C++ for coding interview and competitive programming
This project can help you understand the Data Structure and Algorithms in a more efficient manner. It aims at scheduling the studies for maximizing marks during exams. Most students face this problem during exams that what to study to get the best out of their limited time.
Solutions in JAVA for some coding platforms.
InterviewBit Programming Solutions
A minimal and very optimized version of Minecraft made in Unity, virtually endless in all three axis.
This repository is aimed to contain all the questions required for SDE interview preparation from data structures and algorithms.
Design, develop, and deploy effective software systems using the advanced constructs of Rust
Collection of solution for problems on InterviewBit
Solving problems in Algorithms courses
Summarize Massive Datasets using Submodular Optimization
Contains solutions and codes to various online competitive programming challenges and some good problems. The links to the problem sets are specified at the beginning of each code.
Leverage the power of modern C++ to build robust and scalable applications
Laboratory problems and solutions for the ITMO course "Algorithms and data structures"
This repository contains some algorithms and data structures mostly implemented for kicks and learning. Hopefully might help someone in need! Feel free to fork, copy, suggest corrections or ask questions. Happy coding :)
Syllabus and some basic tricks for competitive programming beginner and general coding that increases efficiency of your code and gives an impressive look
Comprehensive algorithms solution to help engineers prepare their interviews and future study
DSA course solutions in C++ Jump to below directly for more problems
The ultimate guide for data structure and algorithms
Collection of data-structures and algorithms along with resources and guidelines for mastering coding
A brief summary of various algorithms. Each algorithm provides examples written in Python, Ruby and GoLang.
Common problems of dynamic programming methods and techniques, including prerequisites, for competitive programmers.
Solutions for popular algorithms and data structures problems on leetcode
Solutions of questions on Geeks-for-Geeks.Solution Available in C++.
My solution codes for 400+ algorithms and data structure problems. Most common and famous interview placement questions from Data Structures and Algorithms.
This is the web app written in Python/Django at the backend and Html/CSS at the front-end as a semester project completed with Class member. This app generates the timetable for the departments with multi-sections features and no conflict with professors availability and classrooms availability.