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Sparse eigenvalue problems with ARPACK is included below. Adapt the question and comparison, then copy or download your plan.

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  • Sparse eigenvalue problems with ARPACK →

    SciPy documentation. Sparse eigenvalue problems with ARPACK. https://docs.scipy.org/doc/scipy-1.18.0/tutorial/arpack.html; observed version 1.18.0.

    Record revision: 4f479a6e1ab7eaa6c651f555ad12223dcfda2a3d6123c19d5bddf3d366958f37

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

  • SciPy 1.18.0
  • Compatible NumPy and native numerical-library build; exact environment not prepared

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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