This visualisation uses AI Generated code, finetuned for the best visualisation, not code quality

Interactive C + Raylib lab for dynamic programming, with separate scenes for 0/1 Knapsack, LIS, and grid-path counting plus linked code and state views.

• How DP tables or state arrays are filled one dependency at a time
• How different problem types still share the same reuse-of-subproblems pattern
• How code, cell state, and recurrence structure line up during execution
• Scene-specific dialogs for goals, controls, and cell inspection

flowchart LR
    A["Problem State"]
    B["Recurrence Choice"]
    C["Reuse Smaller Subproblems"]
    D["Write DP Cell / State"]
    E["Advance Frontier"]
    F["Final Answer"]

    A --> B
    B --> C
    C --> D
    D --> E
    E --> F

• q: quit
• 1 / 2 / 3: switch scenes
• space: play or pause
• n or right: single step
• r: reset
• h, g, c / f1, and esc: manage help and goal dialogs

make run