The competition problem syllabus and evaluation domains

Theoretical derivation manuscripts

Manuscripts must be submitted in LaTeX format. Scoring rewards analytical validity, dimensional analysis rigor, and clear physical intuition without approximation shortcuts.

Computational code implementation

Open-source numerical implementation in Python, Julia, or C++. Repositories require automated test scripts, reproducible notebooks, and comprehensive error propagation analysis.

Experimental datasets for simulation

Competitors receive raw sensor output and calibration telemetry collected from controlled laboratory apparatus. Models must match experimental boundary conditions within a strict four-sigma tolerance.

Calibration constants are updated dynamically upon problem release to prevent pre-computed solutions and test authentic real-time mathematical adaptation.

Peer-reviewed evaluation metrics

Evaluators score submissions using a double-blind rubric emphasizing mathematical validity and reproducibility. Each derivation is assessed independently by two faculty advisors from partner institutions, resolving discrepancies through standardized error-bound analysis.

Final scores are published on the administrative ledger following inter-university consortium review. Late submissions or repositories failing continuous integration checks are logged automatically and disqualified without exception.