Method

NLopt nonlinear optimisation

Steven G. Johnson, NLopt · v1.0.0

provenance_verified author_implementation paid_per_execution published

What it does

Nonlinear optimisation algorithms via NLopt for constrained and unconstrained scientific design problems.

When to use it

Nonlinear optimisation algorithms via NLopt for constrained and unconstrained scientific design problems.

Implementation provenance

This MCP is labelled author_implementation. Tools bind to author repository code.

Paper(s)

  • No papers linked.

Code: https://github.com/stevengj/nlopt

Licence: See upstream repository

Available MCP tools

run

Invoke NLopt nonlinear optimisation (catalog entry — wire author MCP or Paper2MCP for full tools)

Provenance: author_provided · nlopt_nonlinear:run

{
  "properties": {
    "problem": {
      "type": "string"
    }
  },
  "type": "object"
}

Example invocation

curl -s -X POST http://127.0.0.1:8765/api/v1/methods/nlopt_nonlinear/execute \
  -H 'Content-Type: application/json' \
  -d '{"tool_name":"run","arguments":{}}'

Validation evidence

  • provenance_verified: claimed — Upstream repository linked and catalogued. Not execution-verified until MCP tools pass tests.

Price · usage · pay

Current version: nlopt_nonlinear@1.0.0

Price: $0.0400 / execution

Executions: 0 · Creator earnings: $0.00

LIVE Stripe — real charges; academics keep 100%.

Citation

Steven G. Johnson, NLopt. NLopt nonlinear optimisation (v1.0.0). LemmaMCP method `nlopt_nonlinear`. Implementation: author_implementation. Verification: provenance_verified.