The Law of Computational Impossibility (P vs NP)
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| Format: | Recurso digital |
| Langue: | En |
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Zenodo
2025
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| _version_ | 1866902260213088256 |
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| author | Zain Al-Abedien, (Muhannad) |
| author_facet | Zain Al-Abedien, (Muhannad) |
| contents | <p>We prove that generative optimization problems (e.g., TSP and color merging) cannot be solved without near-exhaustive evaluation due to nonlinear interactions between elements. This principle—"The Law of Computational Impossibility"—resolves P vs NP by transforming TSP into subset selection, establishing P ≠ NP.</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_17501355 |
| institution | Zenodo |
| language | enc |
| publishDate | 2025 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | The Law of Computational Impossibility (P vs NP) Zain Al-Abedien, (Muhannad) P vs NP NP-Hard TSP NP Problem <p>We prove that generative optimization problems (e.g., TSP and color merging) cannot be solved without near-exhaustive evaluation due to nonlinear interactions between elements. This principle—"The Law of Computational Impossibility"—resolves P vs NP by transforming TSP into subset selection, establishing P ≠ NP.</p> |
| title | The Law of Computational Impossibility (P vs NP) |
| topic | P vs NP NP-Hard TSP NP Problem |
| url | https://doi.org/10.5281/zenodo.17501355 |