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Compressed Sparse Graph Routines (scipy.sparse.csgraph)

A tutorial on algorithms for graphs represented as sparse matrices, illustrated through path finding.

Use this in a plan →Visit the original source ↗

External resource. No execution or independent verification is claimed here.

PREFER A GUIDED QUESTION?Make an algorithm check include its invalid inputs →An editable brief with 5 sources.
SEEN A PUBLISHED RESULT THAT DEPENDS ON THIS?Ask for a check of one exact claim →Name a public paper and one computational claim. Interest only for now: no quote, work or free slot is created.
A QUESTION TO TAKE FURTHER

Do sparse-graph path computations agree with exact enumeration on tiny weighted graphs containing disconnected components?

The evaluator owns the adjacency data, verifies path validity and sums edge weights independently, retaining unreachable cases explicitly.

What you could produce

  • A versioned minimal protocol, evaluator-owned test cases, and a comparison report with numerical/statistical uncertainty and failures.

Before you use it

  • 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.

Source and permission context

SciPy documentation. Compressed Sparse Graph Routines (scipy.sparse.csgraph). https://docs.scipy.org/doc/scipy-1.18.0/tutorial/csgraph.html; observed version 1.18.0.

Catalog listing reviewed. This review covers the description and source links displayed here.

Versioned SciPy 1.18.0 page and BSD-3-Clause documentation evidence reviewed.

Reviewed 2026-09-14. Copying or adapting source files remains subject to their own terms.

documentation · BSD-3-Clause

SciPy's versioned developer policy explicitly includes documentation under its default BSD license, subject to separately specified exceptions; the matching 1.18.0 LICENSE.txt identifies the three-clause terms.

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Before copying source material

  • Third-party figures, linked papers, datasets and dependency licenses have not been assessed; no external content is copied into this catalog.

Put this resource to work.

Editable plan
RESEARCH BRIEF · 5 SOURCES

Make an algorithm check include its invalid inputs

Does a shortest-path implementation return known distances and reject inputs outside its assumptions?

Planning previewHand-enumerated distances for the fixed small graph.
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