Linear algorithm for optimal path cover problem on interval graphs
Information Processing Letters
The traveling salesman problem with distances one and two
Mathematics of Operations Research
Optimal path cover problem on block graphs and bipartite permutation graphs
Theoretical Computer Science
Approximation algorithms for NP-complete problems on planar graphs
Journal of the ACM (JACM)
Linear approximation of shortest superstrings
Journal of the ACM (JACM)
A short note on the approximability of the maximum leaves spanning tree problem
Information Processing Letters
The path-partition problem in block graphs
Information Processing Letters
Optimal path cover problem on block graphs
Theoretical Computer Science
Advances on the Hamiltonian Completion Problem
Journal of the ACM (JACM)
Fast Approximation Algorithms for the Knapsack and Sum of Subset Problems
Journal of the ACM (JACM)
P-Complete Approximation Problems
Journal of the ACM (JACM)
Complexity and Approximation: Combinatorial Optimization Problems and Their Approximability Properties
Computers and Intractability: A Guide to the Theory of NP-Completeness
Computers and Intractability: A Guide to the Theory of NP-Completeness
Polynomial time approximation schemes for Euclidean TSP and other geometric problems
FOCS '96 Proceedings of the 37th Annual Symposium on Foundations of Computer Science
Minimum node disjoint path covering for circular-arc graphs
Information Processing Letters
Hi-index | 0.00 |
Given a graph, the Hamiltonian path completion problem is to find an augmenting edge set such that the augmented graph has a Hamiltonian path. In this paper, we show that the Hamiltonian path completion problem will unlikely have any constant ratio approximation algorithm unless NP = P. This problem remains hard to approximate even when the given subgraph is a tree. Moreover, if the edge weights are restricted to be either 1 or 2, the Hamiltonian path completion problem on a tree is still NP-hard. Then it is shown that this problem will unlikely have any fully polynomial-time approximation scheme (FPTAS) unless NP=P. When the given tree is a k-tree, we give an approximation algorithm with performance ratio 1.5.