pith:ZHHU72LA
Implementation of Polynomial NP-Complete Algorithms Based on the NP Verifier Simulation Framework
Fully specified deterministic Turing machines solve SAT and Subset-Sum in polynomial time via an improved verifier simulation framework.
arxiv:2602.10991 v4 · 2026-02-11 · cs.CC · cs.FL
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Claims
We construct fully specified deterministic Turing Machines (DTMs) for SAT and Subset-Sum within an improved NP verifier simulation framework. The complete Python implementation behaves in accordance with the predicted polynomial-time bounds.
That the improved feasible-graph construction and edge-extension mechanisms convert the nondeterministic verifier simulation into a deterministic polynomial-time procedure without introducing hidden exponential factors in the worst case.
Authors supply deterministic polynomial-time Turing machines and Python code for the NP-complete problems SAT and Subset-Sum via an enhanced NP verifier simulation framework.
Receipt and verification
| First computed | 2026-07-14T01:20:54.144986Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
c9cf4fe960fea7dde9be89ab40e81b5f1008a4da459aaa18a3ccb5ad0a2c1ea7
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curl -sH 'Accept: application/ld+json' https://pith.science/pith/ZHHU72LA72T532N6RGVUB2A3L4 \
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Canonical record JSON
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