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Venkatesh Radhakrishnan

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3 papers
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3

I&C Journal 2002 Journal Article

Parallel Approximation Schemes for a Class of Planar and Near Planar Combinatorial Optimization Problems

  • Harry B Hunt
  • Madhav V Marathe
  • Venkatesh Radhakrishnan
  • S.S Ravi
  • Daniel J Rosenkrantz
  • Richard E Stearns

Define a (δ, g)-almost planar graph to be a graph G(V, E) consisting of vertex set V and a genus g layout with at most δ·|V| crossover nodes. We study a class of combinatorial optimization problems formulated as follows. Let X={x 1, x 2, …x n } be a set of variables each of which has a finite domain D={0, 1, …, poly(n)}. Also, let S be a fixed finite set of finite arity relations {R 1, …R q }. The optimization problem M AX -R ELATION (S) is the following: Given a set of terms {t 1, t 2, …, t m }, where each term t i is of the form f(x i 1, x i 2, …, x i r ) for some fϵS, assign values to each x i, 1≤i≤n, so as to maximize the number of satisfied terms. We show that for each fixed finite set S and fixed δ, g≥0, there is an NC-approximation scheme (NCAS) for the problem M AX -R ELATION (S) when restricted to instances whose bipartite graphs (that represent the variable-term relationship) are (δ, g)-almost planar. This result in conjunction with approximation-preserving reductions to M AX -R ELATION (S) enables us to obtain NCASs for a number of graph theoretic and satisfiability problems when restricted to (δ, g)-almost planar instances. Our results provide a characterization of a class of problems having an NCAS (and hence a PTAS).

TCS Journal 1997 Journal Article

Hierarchically specified unit disk graphs

  • Madhav V. Marathe
  • Venkatesh Radhakrishnan
  • Harry B. Hunt
  • S.S. Ravi

We characterize the complexity of a number of basic optimization problems for unit disk graphs specified hierarchically as in [2, 17, 19, 20]. Both PSPACE-hardness results and polynomial time approximations are presented for most of the problems considered. These problems include minimum vertex coloring, maximum independent set, minimum clique cover, minimum dominating set and minimum independent dominating set. Each of our PSPACE-hardness results holds, when the hierarchical specifications are 1-level restricted and the graphs are specified hierarchically either as in [2] or as in [19]. The hardness results presented here significantly extend the hardness results in [2, 19]. The approximation algorithms presented here along with our results in [24, 25] are among the first polynomial time approximation algorithms for natural PSPACE-hard functions.

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