Nonconstructive tools for proving polynomial-time decidability
Journal of the ACM (JACM)
SIAM Journal on Discrete Mathematics
Network flows: theory, algorithms, and applications
Network flows: theory, algorithms, and applications
Linear approximation of shortest superstrings
Journal of the ACM (JACM)
A General Approximation Technique for Constrained Forest Problems
SIAM Journal on Computing
The primal-dual method for approximation algorithms and its application to network design problems
Approximation algorithms for NP-hard problems
P-Complete Approximation Problems
Journal of the ACM (JACM)
\boldmath A $2\frac12$-Approximation Algorithm for Shortest Superstring
SIAM Journal on Computing
Approximation algorithms for the TSP with sharpened triangle inequality
Information Processing Letters
Complexity and Approximation: Combinatorial Optimization Problems and Their Approximability Properties
Approximation algorithms for asymmetric TSP by decomposing directed regular multigraphs
Journal of the ACM (JACM)
Improved deterministic approximation algorithms for Max TSP
Information Processing Letters
An approximation algorithm for maximum triangle packing
Discrete Applied Mathematics
An improved approximation algorithm for the asymmetric TSP with strengthened triangle inequality
Journal of Discrete Algorithms
On the relationship between ATSP and the cycle cover problem
Theoretical Computer Science
On Approximating Restricted Cycle Covers
SIAM Journal on Computing
On the complexity of the k-customer vehicle routing problem
Operations Research Letters
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A cycle cover of a graph is a set of cycles such that every vertex is part of exactly one cycle. An L-cycle cover is a cycle cover in which the length of every cycle is in the set L@?N. We investigate how well L-cycle covers of minimum weight can be approximated. For undirected graphs, we devise non-constructive polynomial-time approximation algorithms that achieve constant approximation ratios for all sets L. On the other hand, we prove that the problem cannot be approximated with a factor of 2-@e for certain sets L. For directed graphs, we devise non-constructive polynomial-time approximation algorithms that achieve approximation ratios of O(n), where n is the number of vertices. This is asymptotically optimal: We show that the problem cannot be approximated with a factor of o(n) for certain sets L. To contrast the results for cycle covers of minimum weight, we show that the problem of computing L-cycle covers of maximum weight can, at least in principle, be approximated arbitrarily well.