math-modeling-pipeline/phase-3.5

MATLAB unit testing validates core modeling functions and Q*_solver.m scripts against analytical solutions. It ensures calculation correctness beyond mere execution by comparing outputs against expected physical reference values within a structured pipeline.

Generating a unit test report requires a working directory with 3-modeling/core/*.m, Q*_solver.m, and unit_tests.m files. The testing process validates core functions and solver scripts, outputting a pass/fail markdown report at unit_test_report.md.

You validate Q*_solver.m scripts by running automated unit tests that compare script outputs against analytical solutions or physical reference values. This verifies the mathematical modeling logic executes correctly and produces accurate physical results.

You need a working directory containing 3-modeling/core/*.m files, 3-modeling/Q*_solver.m, and a 3-modeling/unit_tests.m script. This structure allows the testing framework to validate functions and output the markdown report correctly.

MATLAB code may execute but fail physical reference value checks because the mathematical modeling logic produces incorrect physical results. Rigorous unit testing identifies these discrepancies by comparing solver outputs against expected analytical solutions.