Optimal a powerful set of tools for finding mathematically optimal solutions to complex problems. Whether you're optimising resource allocation, scheduling tasks, or logistics, Optimal provides a user-friendly interface to define your problem in mathematical terms, select the ideal algorithm, and find the best solution.
| Method | Path | Purpose | Example |
|---|---|---|---|
| GET | / | Placeholder UI | <host>/ |
| GET | /unconstrained_optimization?a=120&b=2 | SymPy demo | returns {p_star:30, R_star:3600} |
| GET | /test_loading_scipy | Cold-start import test | shows version & load time |
| GET | /test_loading_pyomo | Same, but via *child* Lambda layer | — |
| GET | /test_loading_pulp | Direct import test | — |
| GET | /test_loading_sympy | Direct import test | — |
| GET | /test_loading_dwave | Layer import test | — |
| GET | /llm_endpoint?problem_description=Maximise profit subject to ... | LLM classifier | returns {description, classification} |