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* feat(constrained-optimization): add formulation and audit methodology * docs(constrained-optimization): register skill and align trigger metadata * docs(constrained-optimization): route templates and define completion * docs(constrained-optimization): cite solver evidence and applicability
12 lines
1.7 KiB
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12 lines
1.7 KiB
Markdown
# Primary sources and applicability
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Checked 2026-09-14. These links support interpretation of solver evidence; this methodology does not install or operate these tools. Record the installed solver version, selected method, options, and matching documentation in each solution audit.
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| Source | Documentation scope observed | Use and limit |
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| [SciPy OptimizeResult](https://docs.scipy.org/doc/scipy/reference/generated/scipy.optimize.OptimizeResult.html) | SciPy 1.18.0 reference | Explains success, status, termination messages, and optional result fields. Available fields and status meanings depend on the solver; successful termination alone is not a universal global-optimality certificate. |
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| [SciPy linprog](https://docs.scipy.org/doc/scipy/reference/generated/scipy.optimize.linprog.html) | SciPy 1.18.0 reference | Defines linear objectives, constraints, bounds, residuals, and method-specific results. Recompute constraints from the original formulation and declared tolerance. Do not transfer linear-programming guarantees to nonlinear or heuristic methods. |
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| [OR-Tools CP-SAT](https://developers.google.com/optimization/cp/cp_solver) | Unversioned official guide, checked on the date above | Describes integer constraint models and distinct optimal, feasible, infeasible, invalid-model, and unknown outcomes. Preserve the returned status; a search limit does not establish infeasibility. Integer scaling and finite domains must preserve the intended formulation. |
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Re-check the exact release and algorithm before relying on a field, tolerance, gap, or certificate. These sources illustrate evidence interpretation; they do not make one solver suitable for every formulation or validate an application model.
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