MNP Check

Purpose-built for parameter validation, the tool evaluates M, N, and P against a defined rule set to yield deterministic outcomes. It benefits developers, researchers, and educators who need reproducible checks. The engine executes standard rules and optional user expressions, returning per-rule results and derived metrics.
The core logic is a small rule engine with clear formulas for positivity and triangle-like inequalities, plus an extensible expression evaluator. Inputs are parsed as real numbers, validated for finiteness, and then fed into the checks. The result set includes a pass/fail flag for each rule, an overall status, and simple metrics like sum, min, and max to contextualize the triple.
This approach enables deterministic behavior across environments and makes it easy to automate downstream processes, such as parameter tuning in simulations or validating classroom exercises. The tool does not perform UI tasks or formatting; it focuses on domain logic and output structure.
Use cases include algorithm validation, teaching aids for inequalities, and rapid parameter sweep validation in software or research workflows. Its unique value lies in combining standard, well-defined checks with optional user expressions, delivering fast, consistent results suitable for automation and reporting.