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Pattern Guide

Simulation & Implementation

"Do exactly what the problem says. Edge cases are the challenge."

Simulation problems ask you to faithfully implement a described process. No clever algorithm needed — just careful implementation. The hard part: edge cases, boundary conditions, and off-by-one errors. Master direction tracking, state machines, and boundary checks.

Problems you can solve with this pattern

6 problems · click any to start solving

All miscellaneous
1Spiral MatrixMediumSolve
2Game of LifeMediumSolve
3Robot Bounded In CircleMediumSolve
4Zigzag ConversionMediumSolve

Simulation problems are deceptively "easy" — the algorithm is just "do what the problem says." The real challenge is getting every edge case right: what happens at boundaries, when states change, when conditions overlap. The key: read the problem carefully, code the process step by step, and test edge cases methodically.

Common Simulation Patterns

PatternKey ChallengeExample
Direction trackingRotation, turning at boundariesSpiral matrix, robot moves
State machineValid state transitionsLRU, game states, parsers
Event simulationProcess events in orderMeeting rooms, task scheduler
String manipulationBoundary conditions, indicesReverse words, zigzag
Number manipulationOverflow, digit extractionHappy number, digit reversal
Grid simulationOut-of-bounds, visited trackingGame of Life, robot paths
Simulation checklist:
1. Read the problem statement word by word — every sentence may be a constraint
2. Identify the state: what needs to be tracked at each step?
3. Code the transitions: what changes on each event/step?
4. Boundary conditions: what happens at edges, start, end?
5. Test with simple cases first, then edge cases

In-place update trick: When you need to update a grid "simultaneously," encode old/new states as different numbers. First pass: set encoded values. Second pass: decode. Avoids reading your own updates.