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The Lumenary
स्नातकोत्तर प्रथम वर्षComputationनियोजित

Computational reproducibility

Making computational mathematics checkable by others: version control, pinned environments, tests, notebooks, random seeds and data provenance, and reporting results honestly as exact, numerical, statistical or experimental evidence.

math.comp.computational-reproducibility

इस विषय तक पहुँचने के लिए आवश्यक सब कुछ दिखाएँ

इस विषय का पाठ अभी लिखा नहीं गया है। नीचे दी गई रूपरेखा पाठ्यक्रम-मानचित्र का हिस्सा है और इसकी समीक्षा नहीं हुई है।

इस पर आधारित

Numerical methodsMathematical writing

40 अनिवार्य पूर्वापेक्षाएँ (बिल्कुल नीचे तक)

आप सीखेंगे

  • Package a computation with pinned dependencies, tests and a single command that reproduces its results.
  • Classify a computational claim as exact, numerical, statistical or experimental, and state its limitations.
  • Archive code and data with persistent identifiers, and cite software properly.

परिभाषा

  • A computation is reproducible if others can obtain the same results from the same code, data and environment.
  • A pinned environment fixes the exact versions of all software dependencies.
  • Exact computation (integer or symbolic arithmetic) differs from floating-point approximation, whose results need error bounds to be meaningful.

प्रमेय

  • Floating-point results can differ between hardware and library versions, so tolerances must be stated.
  • A computer-assisted proof depends on the correctness of its code; formal verification or independent reimplementation strengthens the claim.

आम भ्रांतियाँ

  • Thinking a notebook that ran once is reproducible.
  • Reporting agreement to many digits as if it were proof.

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