Enhanced Visualization for Activity Selection Algorithms

📅 2024-04-17 — Session: Enhanced Visualization for Activity Selection Algorithms

🕒 03:00–05:30
🏷️ Labels: Visualization, Dynamic Programming, Activity Selection, Matplotlib, Algorithm
📂 Project: Dev
⭐ Priority: MEDIUM

Session Goal

The session aimed to enhance the visualization capabilities of various activity selection algorithms to improve understanding and debugging.

Key Activities

• Modified the visualizar method to display selected and unselected activities separately, adjusting the y-axis and using colors for differentiation.
• Integrated intermediate visualizations into the GreedySelector to show the state of activities after each decision using matplotlib.
• Adapted the visualizar method for BacktrackingSelector to graphically represent the state of selected and evaluated activities.
• Implemented visualizations in DynamicProgrammingSelector to demonstrate the memoization table filling and solution reconstruction.
• Reviewed and clarified the reconstruction logic in dynamic programming algorithms for activity selection, focusing on non-overlapping activities and improving decision-making clarity.

Achievements

• Successfully integrated visualization methods across different selectors, enhancing the understanding of algorithmic processes.
• Improved the clarity of dynamic programming implementations through detailed explanations and code examples.

Pending Tasks

• Further testing and validation of the visualization methods in real-world scenarios to ensure robustness and accuracy.
• Continuous refinement of the reconstruction logic in dynamic programming to handle edge cases effectively.