comp-prob-analysis

Competition problem analysis breaks down ambiguous math modeling statements into top-level sub-questions, defining variables and outlining workflows. It requires strict assumption pre-checking and variable symbol table construction to produce a solid modeling roadmap.

Assumption validation identifies ambiguous wording in competition problems, proposes multiple interpretations, and runs quick comparative checks. This pre-checking process records final chosen assumptions to ensure your math modeling roadmap remains accurate and defensible.

Planning diagrams for math modeling involves creating an explicit pre-planning workflow that mandates formula- and tool-appropriate diagram types. It integrates variable and symbol tables to ensure your visualization strategy aligns directly with the defined modeling strategy per sub-question.

Competition problem analysis supports optional extracted OCR text inputs to handle missing attachments and ambiguous problem statements. This dataset-aware approach ensures accurate formula handling and structured analysis even when original data files are unavailable.

Competition problem analysis requires no specific dependencies or components to function. It operates independently to generate a structured PROBLEM_ANALYSIS.md report by processing the provided competition problem text and any available attached datasets directly.