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This article is alist of notable unsolved problems incomputer science. A problem in computer science is considered unsolved when no solution is known or when experts in the field disagree about proposed solutions.
P versus NP problem – The P vs NP problem is a major unsolved question in computer science that asks whether every problem whose solution can be quickly verified by a computer (NP) can also be quickly solved by a computer (P). This question has profound implications for fields such as cryptography, algorithm design, and computational theory.[1]
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]
Isgraph canonization polynomial-time equivalent to the graph isomorphism problem?
Canleaf powers andk-leaf powers be recognized in polynomial time?
What is the lowest possible average-case time complexity ofShellsort with a deterministic fixed gap sequence?
Can3SUM be solved in strongly sub-quadratic time, that is, in timeO(n2−ϵ) for someϵ > 0?
Can theedit distance between two strings of lengthn be computed in strongly sub-quadratic time? (This is only possible if the strongexponential time hypothesis is false.)
What is the algorithmic complexity of theminimum spanning tree problem? Equivalently, what is thedecision tree complexity of the MST problem? The optimal algorithm to compute MSTs isknown, but it relies on decision trees, so its complexity is unknown.
Determine whether the length of the minimal uncompletable word of is polynomial in, or even in. It is known that is avariable-length code if for all, implies and for all. In such cases, we do not yet know if a polynomial bound exists. This is a possible weakening of theRestivo conjecture (already disproven in general, though upper bounds remain unknown).
Determine all positive integers such that the concatenation of and in base uses at most distinct characters, for fixed and.[citation needed]