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https://github.com/osamamagdy/algorithmic-toolbox
🛰These are my solutions for the first Course of Data Structures and Algorithms Specialization on Coursera by the University of California San Diego. Solutions are written in C++ language and don't use any external dependencies.
https://github.com/osamamagdy/algorithmic-toolbox
algorithm-challenges algorithmic-toolbox algorithms algorithms-and-data-structures coursera cpp problem-solving
Last synced: 28 days ago
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🛰These are my solutions for the first Course of Data Structures and Algorithms Specialization on Coursera by the University of California San Diego. Solutions are written in C++ language and don't use any external dependencies.
- Host: GitHub
- URL: https://github.com/osamamagdy/algorithmic-toolbox
- Owner: osamamagdy
- License: mit
- Created: 2021-01-29T17:37:16.000Z (about 4 years ago)
- Default Branch: main
- Last Pushed: 2021-01-29T18:30:46.000Z (about 4 years ago)
- Last Synced: 2024-11-14T12:56:16.744Z (3 months ago)
- Topics: algorithm-challenges, algorithmic-toolbox, algorithms, algorithms-and-data-structures, coursera, cpp, problem-solving
- Language: C++
- Homepage:
- Size: 20 MB
- Stars: 0
- Watchers: 1
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# âš¡ Algorithmic-Toolbox
This is my solutions for the first Course of Data Structures and Algorithms Specialization on Coursera by the University of California San Diego and HSE University. Solutions are written in C++ language and doesn't use any external dependencies.# About the Course
The course covers basic algorithmic techniques and ideas for computational problems arising frequently in practical applications: sorting and searching, divide and conquer, greedy algorithms, dynamic programming.We will learn a lot of theory: how to sort data and how it helps for searching; how to break a large problem into pieces and solve them recursively; when it makes sense to proceed greedily; how dynamic programming is used in genomic studies. You will practice solving computational problems, designing new algorithms, and implementing solutions efficiently (so that they run in less than a second).
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# 🎆🦾Certificate of compilation