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List of unsolved problems in computer science

From Wikipedia, the free encyclopedia

This article is a list of notable unsolved problems in computer science. A problem in computer science is considered unsolved when no solution is known or when experts in the field disagree about proposed solutions.

Computational complexity

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Polynomial versus nondeterministic-polynomial time for specific algorithmic problems

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The graph isomorphism problem involves determining whether two finite graphs are isomorphic, meaning there is a one-to-one correspondence between their vertices and edges that preserves adjacency. While the problem is known to be in NP, it is not known whether it is NP-complete or solvable in polynomial time. This uncertainty places it in a unique complexity class, making it a significant open problem in computer science.[2]

Algorithmic number theory

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Other algorithmic problems

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Programming language theory

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Other problems

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See also

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References

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  1. "P vs. NP – The Greatest Unsolved Problem in Computer Science". Quanta Magazine. 2023-12-01. Retrieved 2025-03-11.
  2. Klarreich, Erica (2015-12-14). "Landmark Algorithm Breaks 30-Year Impasse". Quanta Magazine. Retrieved 2025-03-11.
  3. Fellows, Michael R.; Rosamond, Frances A.; Rotics, Udi; Szeider, Stefan (2009). "Clique-width is NP-complete" (PDF). SIAM Journal on Discrete Mathematics. 23 (2): 909–939. doi:10.1137/070687256. MR 2519936. S2CID 18055798. Archived from the original (PDF) on 2019-02-27.
  4. Demaine, Erik D.; O'Rourke, Joseph (2007). "24 Geodesics: Lyusternik–Schnirelmann". Geometric folding algorithms: Linkages, origami, polyhedra. Cambridge, England: Cambridge University Press. pp. 372–375. doi:10.1017/CBO9780511735172. ISBN 978-0-521-71522-5. MR 2354878.
  5. Gassner, Elisabeth; Jünger, Michael; Percan, Merijam; Schaefer, Marcus; Schulz, Michael (2006). "Simultaneous graph embeddings with fixed edges" (PDF). Graph-Theoretic Concepts in Computer Science: 32nd International Workshop, WG 2006, Bergen, Norway, June 22–24, 2006, Revised Papers (PDF). Lecture Notes in Computer Science. Vol. 4271. Berlin, Germany: Springer. pp. 325–335. doi:10.1007/11917496_29. ISBN 978-3-540-48381-6. MR 2290741.
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