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The title of the paper is somewhat misleading; we're actually no looking for hard Hamiltonian graphs, but hard Hamiltonian problem instances, and the result of that are actually non-Hamiltonian graphs only. | The title of the paper is somewhat misleading; we're actually no looking for hard Hamiltonian graphs, but hard Hamiltonian problem instances, and the result of that are actually non-Hamiltonian graphs only. | ||
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+ | On the first page it says "The hardest graphs reside in between, right around the Komlos-Szemeredi bound of average degreev·ln(v) +v·ln(ln(v)) edges". This is a mixeup. There are two possibilities: | ||
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+ | 1) The hardest graphs reside in between, right around the Komlos-Szemeredi bound of average degree ln(v) +ln(ln(v)). | ||
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+ | 2) The hardest graphs reside in between, right around the Komlos-Szemeredi bound of 1/2v·ln(v) + 1/2v·ln(ln(v)) edges. |
Latest revision as of 12:47, 14 June 2020
Paper
Here is our paper.
Errata
The title of the paper is somewhat misleading; we're actually no looking for hard Hamiltonian graphs, but hard Hamiltonian problem instances, and the result of that are actually non-Hamiltonian graphs only.
On the first page it says "The hardest graphs reside in between, right around the Komlos-Szemeredi bound of average degreev·ln(v) +v·ln(ln(v)) edges". This is a mixeup. There are two possibilities:
1) The hardest graphs reside in between, right around the Komlos-Szemeredi bound of average degree ln(v) +ln(ln(v)).
2) The hardest graphs reside in between, right around the Komlos-Szemeredi bound of 1/2v·ln(v) + 1/2v·ln(ln(v)) edges.