Introduced the concept of polynomial combinatorial sets in enumerative combinatorics and formulates the problem of finding some element with an easily recognized symptom among elements of a combinatorial set. We build an efficient algorithm to solve this problem. We prove that this algorithm does not fit into the formal definition of an algorithm (e.g. “Turing machine”). It is proved that all NP-complete problems are not polynomial. We consider a countable class of undirected Hamiltonian graphs with an odd number of vertices without loops and multiple edges. We prove one typical feature of such graphs: almost every simple path containing all the vertices of the graph is not Hamiltonian cycle. In other words, in the langage of probability theory, the probability that a randomly selected a simple path in this graph containing all vertices, is Hamiltonian cycle tends to zero with growth of number vertices.
Published in | Control Science and Engineering (Volume 1, Issue 1) |
DOI | 10.11648/j.cse.20170101.11 |
Page(s) | 1-3 |
Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
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Copyright © The Author(s), 2017. Published by Science Publishing Group |
An Undirected Graph, A Simple Path, Hamiltonian Cycle, Polynomial Combinatorial Set, Non-polynomial Combinatorial Set
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APA Style
Kochkarev Bagram, Sibgatullovich. (2017). On One Class of Undirected Graph. Control Science and Engineering, 1(1), 1-3. https://doi.org/10.11648/j.cse.20170101.11
ACS Style
Kochkarev Bagram; Sibgatullovich. On One Class of Undirected Graph. Control Sci. Eng. 2017, 1(1), 1-3. doi: 10.11648/j.cse.20170101.11
@article{10.11648/j.cse.20170101.11, author = {Kochkarev Bagram and Sibgatullovich}, title = {On One Class of Undirected Graph}, journal = {Control Science and Engineering}, volume = {1}, number = {1}, pages = {1-3}, doi = {10.11648/j.cse.20170101.11}, url = {https://doi.org/10.11648/j.cse.20170101.11}, eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.cse.20170101.11}, abstract = {Introduced the concept of polynomial combinatorial sets in enumerative combinatorics and formulates the problem of finding some element with an easily recognized symptom among elements of a combinatorial set. We build an efficient algorithm to solve this problem. We prove that this algorithm does not fit into the formal definition of an algorithm (e.g. “Turing machine”). It is proved that all NP-complete problems are not polynomial. We consider a countable class of undirected Hamiltonian graphs with an odd number of vertices without loops and multiple edges. We prove one typical feature of such graphs: almost every simple path containing all the vertices of the graph is not Hamiltonian cycle. In other words, in the langage of probability theory, the probability that a randomly selected a simple path in this graph containing all vertices, is Hamiltonian cycle tends to zero with growth of number vertices.}, year = {2017} }
TY - JOUR T1 - On One Class of Undirected Graph AU - Kochkarev Bagram AU - Sibgatullovich Y1 - 2017/05/31 PY - 2017 N1 - https://doi.org/10.11648/j.cse.20170101.11 DO - 10.11648/j.cse.20170101.11 T2 - Control Science and Engineering JF - Control Science and Engineering JO - Control Science and Engineering SP - 1 EP - 3 PB - Science Publishing Group SN - 2994-7421 UR - https://doi.org/10.11648/j.cse.20170101.11 AB - Introduced the concept of polynomial combinatorial sets in enumerative combinatorics and formulates the problem of finding some element with an easily recognized symptom among elements of a combinatorial set. We build an efficient algorithm to solve this problem. We prove that this algorithm does not fit into the formal definition of an algorithm (e.g. “Turing machine”). It is proved that all NP-complete problems are not polynomial. We consider a countable class of undirected Hamiltonian graphs with an odd number of vertices without loops and multiple edges. We prove one typical feature of such graphs: almost every simple path containing all the vertices of the graph is not Hamiltonian cycle. In other words, in the langage of probability theory, the probability that a randomly selected a simple path in this graph containing all vertices, is Hamiltonian cycle tends to zero with growth of number vertices. VL - 1 IS - 1 ER -