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Forest Covers and Bounded Forest Covers

Daya Ram Gaur, Barun Gorain, Shaswati Patra, Rishi Ranjan Singh

Abstract

We study approximation algorithms for the forest cover and bounded forest cover problems. A probabilistic $2+ε$ approximation algorithm for the forest cover problem is given using the method of dual fitting. A deterministic algorithm with a 2-approximation ratio that rounds the optimal solution to a linear program is given next. The 2-approximation for the forest cover is then used to give a 6-approximation for the bounded forest cover problem. The use of the probabilistic method to develop the $2+ε$ approximation algorithm may be of independent interest.

Forest Covers and Bounded Forest Covers

Abstract

We study approximation algorithms for the forest cover and bounded forest cover problems. A probabilistic approximation algorithm for the forest cover problem is given using the method of dual fitting. A deterministic algorithm with a 2-approximation ratio that rounds the optimal solution to a linear program is given next. The 2-approximation for the forest cover is then used to give a 6-approximation for the bounded forest cover problem. The use of the probabilistic method to develop the approximation algorithm may be of independent interest.

Paper Structure

This paper contains 10 sections, 17 theorems, 56 equations, 2 figures, 2 algorithms.

Key Result

theorem 1

The forest cover (FC) problem is NP-complete.

Figures (2)

  • Figure 1: Steps to find a forest cover $F$ in $G^*$
  • Figure 2: The sub-graphs of $M_{r}^h$ in the sub-component $S_{r}^h$.

Theorems & Definitions (28)

  • theorem 1
  • proof
  • lemma 1
  • proof
  • lemma 2
  • proof
  • lemma 3
  • proof
  • theorem 2
  • theorem 3
  • ...and 18 more