Approximating two-terminal network reliability

Weiming Feng, Yucheng Fu, Heng Guo

Feng, Fu and Guo give a fully polynomial randomized approximation scheme for s-to-t reachability probability in general directed graphs with independent edge-opening probabilities. An existing reduction extends it to undirected graphs.

Sources for this record

What was already known

An approximation scheme was known for directed acyclic graphs. The general directed and undirected two-terminal problem had remained open since at least Kannan’s 1994 survey.

AI involvement AI-centered

A GPT-5.6 Sol Ultra run prompted by Fu proposed a Markov-chain approach, including retained annealing and flow-analysis ideas. Feng, Fu and Guo verified, simplified and strengthened it and wrote the final proofs.

Two decisive algorithmic ideas are explicitly retained from the model run, within a human-designed search and human-written final analysis.

Importance Major

Answers a longstanding approximate-counting question for general network reliability.

Limitations

The separate unreliability hardness result is human-attributed. The final chain, running-time bound and proofs are human revisions of the model proposal; the long model run is not public.

Technical verification Formal (human)

The authors explicitly report verifying the model algorithm and Markov chain and writing the complete proof of the final FPRAS. This is a reported human check, not a reproduced complexity audit.

Independent checking

Author verification and simplification of model algorithm and chain, followed by author-written proofs

Checker
Weiming Feng, Yucheng Fu and Heng Guo, authors
Scope
Directed two-terminal FPRAS, including annealing and flow-based chain analysis
Basis
Reported by the linked checker
Evidence source

Human understanding Full

The authors explain the annealing distributions, chain, flow congestion and reduction to undirected reliability.

Correction and publication history