Rajiv Raman
Max Planck Society
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Publication
Featured researches published by Rajiv Raman.
international colloquium on automata languages and programming | 2005
Sriram V. Pemmaraju; Rajiv Raman
Given a graph G = (V, E) and positive integral vertex weights w : V → N, the max-coloring problem seeks to find a proper vertex coloring of G whose color classes C1, C2, ..., Ck, minimize
algorithmic game theory | 2009
Khaled M. Elbassioni; Rajiv Raman; Saurabh Ray; René Sitters
{\sum_{i=1}^{k}}{\it max}_{v\epsilon C{_{i}} {\it w}(v)}
ACM Journal of Experimental Algorithms | 2005
Sriram V. Pemmaraju; Sriram Penumatcha; Rajiv Raman
. The problem arises in scheduling conflicting jobs in batches and in minimizing buffer size in dedicated memory managers. In this paper we present three approximation algorithms and one inapproximability result for the max-coloring problem. We show that if for a class of graphs
ACM Transactions on Algorithms | 2011
Sriram V. Pemmaraju; Rajiv Raman; Kasturi R. Varadarajan
{\mathcal G}
foundations of computer science | 2014
Nabil H. Mustafa; Rajiv Raman; Saurabh Ray
, the classical problem of finding a proper vertex coloring with fewest colors has a c-approximation, then for that class
Algorithmica | 2014
T.-H. Hubert Chan; Kevin L. Chang; Rajiv Raman
{\mathcal G}
Computers & Industrial Engineering | 2015
Mangesh Gharote; Rahul Patil; Sachin Lodha; Rajiv Raman
of graphs, max-coloring has a 4c-approximation algorithm. As a consequence, we obtain a 4-approximation algorithm to solve max-coloring on perfect graphs, and well-known subclasses such as chordal graphs, and permutation graphs. We also obtain constant-factor algorithms for max-coloring on classes of graphs such as circle graphs, circular arc graphs, and unit disk graphs, which are not perfect, but do have a constant-factor approximation for the usual coloring problem. As far as we know, these are the first constant-factor algorithms for all of these classes of graphs. For bipartite graphs we present an approximation algorithm and a matching inapproximability result. Our approximation algorithm returns a coloring whose weight is within
international symposium on information theory | 2009
T-H. Hubert Chan; Kevin L. Chang; Rajiv Raman
\frac{8}{7}
european symposium on algorithms | 2005
Bruno Codenotti; Benton McCune; Rajiv Raman; Kasturi R. Varadarajan
times the optimal. We then show that for any e > 0, it is impossible to approximate max-coloring on bipartite graphs to within a factor of
Lecture Notes in Computer Science | 2004
Sriram V. Pemmaraju; Sriram Penumatcha; Rajiv Raman
(\frac{8}{7} - \epsilon)