QUBO formulations of the longest path problem

2021 ◽  
Vol 863 ◽  
pp. 86-101
Author(s):  
Joey McCollum ◽  
Thomas Krauss
2012 ◽  
Vol 160 (3) ◽  
pp. 210-217 ◽  
Author(s):  
Fatemeh Keshavarz-Kohjerdi ◽  
Alireza Bagheri ◽  
Asghar Asgharian-Sardroud

Algorithmica ◽  
2011 ◽  
Vol 65 (1) ◽  
pp. 177-205 ◽  
Author(s):  
Kyriaki Ioannidou ◽  
Stavros D. Nikolopoulos

2015 ◽  
Vol 12 (6) ◽  
pp. 1096-1099
Author(s):  
Kai Zhao ◽  
Jun Pu ◽  
Zhaocai Wang ◽  
Huajun Meng

Networks ◽  
1999 ◽  
Vol 33 (3) ◽  
pp. 207-219 ◽  
Author(s):  
C�cile Murat ◽  
Vangelis Th. Paschos

2019 ◽  
Vol 35 (1) ◽  
pp. 57-68
Author(s):  
Nguyen Thi Phuong ◽  
Tran Vinh Duc ◽  
Le Cong Thanh

The longest path problem is known to be NP-hard. Moreover, they cannot be approximated within a constant ratio, unless ${\rm P=NP}$. The best known polynomial time approximation algorithms for this problem essentially find a path of length that is the logarithm of the optimum.In this paper we investigate the performance of an approximation algorithm for this problem in almost every case. We show that a simple algorithm, based on depth-first search, finds on almost every undirected graph $G=(V,E)$ a path of length more than $|V|-3\sqrt{|V| \log |V|}$ and so has performance ratio less than $1+4\sqrt{\log |V|/|V|}$.\


2008 ◽  
Vol 8 (22) ◽  
pp. 4061-4069 ◽  
Author(s):  
K. Ghoseiri ◽  
A.R.J. Moghadam

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