Abstract
An efficient parallel algorithm is presented to find a maximum weight independent set of a permutation graph which takesO (logn) time usingO (n 2/logn) processors on an EREW PRAM, provided the graph has at mostO (n) maximal independent sets. The best known parallel algorithm takesO (log2 n) time andO (n 3/logn) processors on a CREW PRAM.
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Anita Saha received her M. Sc from Vidyasagar University, India in 2000. She has started her Ph. D. work at Vidyasagar University on 2000. Her research interests include computational graph theory, parallel algorithms, data structure.
Madhumangal Pal received his M. Sc from Vidyasagar University, India and Ph. D from Indian Institute of Technology, Kharagpur, India in 1990 and 1996 respectively. He is engaged in research since 1991. In 1996, he received Computer Division Award from Institution of Engineers (India), for best research work. During 1997 to 1999 he was a faculty member of Midnapore College and since 1999 he has been at the Vidyasagar University, India. His research interest include computational graph theory, parallel algorithms, data structure, combinatorial algorithms, genetic algorithms, fuzzy sets and intuitionistic fuzzy sets.
Tapan K. Pal received his M. Sc in 1971 and Ph. D in 1982 from Indian Institute of Technology, Kharagpur, India. During 1971 to 1987 he was a faculty member of Kharagpur College and since 1987 he has been at the Vidyasagar University, India. His research interest includes Operations Research, Graph Theory and Functional Analysis.
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Saha, A., Pal, M. & Pal, T.K. An efficient pram algorithm for maximum-weight independent set on permutation graphs. JAMC 19, 77–92 (2005). https://doi.org/10.1007/BF02935789
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DOI: https://doi.org/10.1007/BF02935789