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Myshkin
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βP is the limited nondeterminism NP, cf. https://complexityzoo.uwaterloo.ca/Complexity_Zoo:B#betap

lastLast year Laslo Babai proved that the GI problem can be solved in (deterministic) time $\exp(log^c(n))$$\exp(\log^c(n))$. In the introduction he said the branching factor in his algorithm was quasipolynomial bounded.

So if we use the algorithm on a nondeterministic Turing machine, can we say that GI is in βP?

βP is the limited nondeterminism NP, cf. https://complexityzoo.uwaterloo.ca/Complexity_Zoo:B#betap

last year Laslo Babai proved that the GI problem can be solved in (deterministic) time $\exp(log^c(n))$. In the introduction he said the branching factor in his algorithm was quasipolynomial bounded.

So if we use the algorithm on a nondeterministic Turing machine, can we say that GI is in βP?

βP is the limited nondeterminism NP, cf. https://complexityzoo.uwaterloo.ca/Complexity_Zoo:B#betap

Last year Laslo Babai proved that the GI problem can be solved in (deterministic) time $\exp(\log^c(n))$. In the introduction he said the branching factor in his algorithm was quasipolynomial bounded.

So if we use the algorithm on a nondeterministic Turing machine, can we say that GI is in βP?

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Is the Graph Isomorphism problem in βP class?

βP is the limited nondeterminism NP, cf. https://complexityzoo.uwaterloo.ca/Complexity_Zoo:B#betap

last year Laslo Babai proved that the GI problem can be solved in (deterministic) time $\exp(log^c(n))$. In the introduction he said the branching factor in his algorithm was quasipolynomial bounded.

So if we use the algorithm on a nondeterministic Turing machine, can we say that GI is in βP?