This repository demonstrates algorithmic thinking and problem-solving approaches for various logical problems in a computational setting. Each solution includes detailed explanations, complexity analysis, and multiple implementation approaches where applicable.
The repository contains solutions for various types of problems:
- Dynamic Programming
- Graph Theory
- String Manipulation
- Array/Matrix Operations
- Tree Structures
- Sorting and Searching
- And more...
Each problem category has its own directory containing:
- Problem statement and specifications
- Multiple solution approaches
- Complexity analysis
- Test cases
- Unique Paths: Calculate the number of unique paths a robot can take from the top-left to bottom-right corner of an m x n grid, moving only right or down.
Features:
- Multiple solution approaches (Recursion with Memoization, Tabulation)
- Detailed complexity analysis
- Type hints and PEP 8 compliance
- Comprehensive documentation
- Clone the repository:
git clone https://github.com/codeordie-prog/Logic-problems-and-solutions.git- Navigate to the project directory:
cd Logic-problems-and-solutions- Run any solution:
python <problem_category>/<problem_name>/solutions.pyEach problem in this repository follows a structured approach:
-
Problem Analysis
- Understanding the problem statement
- Identifying constraints and requirements
- Breaking down the problem into smaller components
-
Solution Design
- Multiple solution approaches
- Complexity analysis
- Space-time trade-offs
-
Implementation
- Clean, well-documented code
- Type hints for better code understanding
- PEP 8 compliance
- Comprehensive test cases
-
Documentation
- Detailed explanations
- Complexity analysis
- Usage examples
Feel free to contribute to this repository by:
- Adding new problems and solutions
- Improving existing solutions
- Adding more test cases
- Enhancing documentation
This project is open source and available under the MIT License.
For any questions or suggestions, please open an issue in the repository.