The longest path problem is polynomial on cocomparability graphs
WG'10 Proceedings of the 36th international conference on Graph-theoretic concepts in computer science
A polynomial time algorithm for longest paths in biconvex graphs
WALCOM'11 Proceedings of the 5th international conference on WALCOM: algorithms and computation
A linear-time algorithm for the longest path problem in rectangular grid graphs
Discrete Applied Mathematics
Sitting closer to friends than enemies, revisited
MFCS'12 Proceedings of the 37th international conference on Mathematical Foundations of Computer Science
Hardness of approximation and integer programming frameworks for searching for caterpillar trees
CATS '11 Proceedings of the Seventeenth Computing: The Australasian Theory Symposium - Volume 119
Hardness of approximation and integer programming frameworks for searching for caterpillar trees
CATS 2011 Proceedings of the Seventeenth Computing on The Australasian Theory Symposium - Volume 119
An efficient parallel algorithm for the longest path problem in meshes
The Journal of Supercomputing
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The longest path problem is the problem of finding a path of maximum length in a graph. Polynomial solutions for this problem are known only for small classes of graphs, while it is NP-hard on general graphs, as it is a generalization of the Hamiltonian path problem. Motivated by the work of Uehara and Uno in [20], where they left the longest path problem open for the class of interval graphs, in this paper we show that the problem can be solved in polynomial time on interval graphs. The proposed algorithm runs in O(n 4) time, where n is the number of vertices of the input graph, and bases on a dynamic programming approach.