This visualisation uses AI Generated code, finetuned for the best visualisation, not code quality
monotonic_stack.mov
Interactive C + Raylib visual breakdown of a monotonic-stack solution, focused on how stack state, pending indices, and next-greater style answers evolve across a dense teaching layout.
- Why a monotonic stack keeps only the still-relevant candidates
- How pushes and pops correspond to newly resolved answers
- How a brute-force scan differs from the stack-based solution path
- A 3x3-style breakdown that keeps the stack, source state, and answer state visible together
flowchart LR
A["Input Sequence"]
B["Maintain Monotonic Stack"]
C["New Value Arrives"]
D["Pop Weaker Candidates"]
E["Resolve Pending Answers"]
F["Push Current Index"]
A --> B
B --> C
C --> D
D --> E
E --> F
q: quit- The active scene surfaces the rest of its stepping and teaching controls in-app
make run