📅 2023-09-11 — Session: Explored C++ and algorithmic strategies
🕒 16:00–16:25
🏷️ Labels: C++, Algorithm, Python, Brute Force, Dynamic Programming
📂 Project: Dev
⭐ Priority: MEDIUM
Session Goal
The session aimed to explore and execute various programming and algorithmic strategies, focusing on C++ programming, error troubleshooting, and algorithm optimization techniques.
Key Activities
- C++ Programming: Installed a C++ compiler and executed a C++ program across different operating systems. Resolved the ‘undefined reference to main’ error by identifying common causes and applying troubleshooting steps.
- Algorithm Development: Implemented a brute force algorithm in Python to minimize unhappiness by generating permutations. Conducted tests to compare discrepancies between greedy and brute force algorithms.
- Algorithmic Strategies: Discussed the trade-offs between brute force, greedy, and dynamic programming approaches, considering their efficiency and applicability.
- Code Translation: Translated Python code into C++ and provided instructions for compilation and execution.
- Simulation: Developed a Python script to simulate number sign influence on final sums, evaluating correctness against actual signs.
Achievements
- Successfully executed C++ programs and resolved common errors.
- Developed and tested algorithms using brute force and greedy methods.
- Translated Python functions into C++ effectively.
- Simulated and validated algorithmic approaches for sum calculations.
Pending Tasks
- Further exploration of dynamic programming strategies and their practical applications.
- Optimization of the brute force algorithm for better performance.