Abstract
We consider inapproximability for two graph optimisation problems called monopoly and partial monopoly. We prove that these problems cannot be approximated within a factor of (\( \frac{1} {3} \) — ∈) ln n and (\( \frac{1} {2} \) — ∈) ln n, unless NP ⫅ Dtime(n O(log log n)), respectively. We also show that, if Δ is the maximum degree in a graph G, then both problems cannot be approximated within a factor of lnΔO(ln lnΔ), unless P = NP, though both these problems can be approximated within a factor of ln(Δ) + O(1). Finally, for cubic graphs, we give a 1.6154 approximation algorithm for the monopoly problem and a \( \frac{5} {3} \) approximation algorithm for partial monopoly problem, and show that they are APX-complete.
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Mishra, S., Radhakrishnan, J., Sivasubramanian, S. (2002). On the Hardness of Approximating Minimum Monopoly Problems. In: Agrawal, M., Seth, A. (eds) FST TCS 2002: Foundations of Software Technology and Theoretical Computer Science. FSTTCS 2002. Lecture Notes in Computer Science, vol 2556. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-36206-1_25
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DOI: https://doi.org/10.1007/3-540-36206-1_25
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