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Disciplined Convex Programming is included below. Adapt the question and comparison, then copy or download your plan.

YOUR WORKING PLAN

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1 source · Exact preparation context
  • Disciplined Convex Programming →

    CVXPY documentation. Disciplined Convex Programming. https://www.cvxpy.org/tutorial/dcp/index.html.

    Record revision: 10b58641801eda208d80e3266b30131a5e14c733958a435985494af1646a8bf4

Source links open the current listing. This plan retains the revisions above; listing review does not grant permission to copy or adapt source files.

Before carrying out this plan

  • CVXPY, compatible NumPy/SciPy and a suitable optimization solver; versions not pinned

Limits to keep in view

  • No upstream example, source package, build hook or submitted code was executed.
  • The current qualified pilot accepts only self-contained Python 3.13 with a 90-second deadline. This reference's package/runtime is not qualified for that path.
  • The proposed protocol requires bounded resource estimates and an independently controlled evaluator before any scientific execution claim.

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