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Narayan Vikas

dblp:40/5683 · DBLP profile ↗
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12ranked-venue papers
12as first author
0since 2021 · last 2017
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Theory of computation · 12 · 12 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Theoretical computer science
3 papers
Graph algorithms and graph theory · 62% Computational complexity · 25% Computational geometry · 13%

Topics — the 5 heaviest of 6, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Graph algorithms and graph theory
graph coloring
0.122004
Compaction, Retraction, and Constraint Satisfaction · SIAM J. Comput. 2004
Computational Complexity of Compaction to Reflexive Cycles · SIAM J. Comput. 2002
Graph algorithms and graph theory
graph homomorphism
0.122004
Compaction, Retraction, and Constraint Satisfaction · SIAM J. Comput. 2004
Computational Complexity of Compaction to Reflexive Cycles · SIAM J. Comput. 2002
Computational complexity
constraint satisfaction
0.012004
Compaction, Retraction, and Constraint Satisfaction · SIAM J. Comput. 2004
Computational geometry › geometric optimization
compaction
0.012002
Computational Complexity of Compaction to Reflexive Cycles · SIAM J. Comput. 2002
Graph algorithms and graph theory › graph theory › graph packing
cycle packing
0.011999
Computational Complexity of Compaction to Cycles · SODA 1999

Methods — techniques the papers use, named apart from their topics

reduction · 0.1complexity classification · 0.0
YearPublicationVenuePosition
2017 Computational Complexity Relationship between Compaction, Vertex-Compaction, and Retraction
Narayan Vikas
IWOCA1
2017 Computational Complexity of Graph Partition under Vertex-Compaction to an Irreflexive Hexagon
abstract
In this paper, we solve a long-standing graph partition problem under vertex-compaction that has been of interest since about 1999. The graph partition problem that we consider in this paper is to decide whether or not it is possible to partition the vertices of a graph into six distinct non-empty sets A, B, C, D, E, and F, such that the vertices in each set are independent, i.e., there is no edge within any set, and an edge is possible but not necessary only between the pairs of sets A and B, B and C, C and D, D and E, E and F, and F and A, and there is no edge between any other pair of sets. We study the problem as the vertex-compaction problem for an irreflexive hexagon (6-cycle). Determining the computational complexity of this problem has been a long-standing problem of interest since about 1999, especially after the results of open problems obtained by the author on a related compaction problem appeared in 1999. We show in this paper that the vertex-compaction problem for an irreflexive hexagon is NP-complete. Our proof can be extended for larger even irreflexive cycles, showing that the vertex-compaction problem for an irreflexive even k-cycle is NP-complete, for all even k \geq 6.
Narayan Vikas
MFCS1
2013 Algorithms for Partition of Some Class of Graphs under Compaction and Vertex-Compaction
Narayan Vikas
Algorithmica1
2011 Algorithms for Partition of Some Class of Graphs under Compaction
Narayan Vikas
COCOON1
2005 A complete and equal computational complexity classification of compaction and retraction to all graphs with at most four vertices and some general results
Narayan Vikas
J. Comput. Syst. Sci.1
2004 Computational Complexity Classification of Partition under Compaction and Retraction
Narayan Vikas
COCOON1
2004 Computational complexity of compaction to irreflexive cycles
Narayan Vikas
J. Comput. Syst. Sci.1
2004 Compaction, Retraction, and Constraint Satisfaction
abstract
In this paper, we show a very close relationship among the compaction, retraction, and constraint satisfaction problems in the context of reflexive and bipartite graphs. The compaction and retraction problems are special graph coloring problems, and the constraint satisfaction problem is well known to have an important role in artificial intelligence. The relationships we present provide evidence that, similar to the retraction problem, it is likely to be difficult to determine whether for every fixed reflexive or bipartite graph, the compaction problem is polynomial time solvable or NP-complete. In particular, the relationships that we present relate to a long-standing open problem concerning the equivalence of the compaction and retraction problems.
Narayan Vikas
SIAM J. Comput.1
2002 Connected and Loosely Connected List Homomorphisms
Narayan Vikas
WG1
2002 Computational Complexity of Compaction to Reflexive Cycles
abstract
In this paper, we solve a widely publicized open problem posed by Peter Winkler in 1988. The problem is to decide whether or not it is possible to partition the vertices of a graph into four distinct nonempty sets A, B, C, and D, such that there is no edge between the sets A and C, and between the sets B and D, and that there is at least one edge between any other pair of distinct sets. Winkler asked whether this problem is NP-complete. We show in this paper that it is NP-complete. We study the problem as the compaction problem for a reflexive 4-cycle. We also show in this paper that the compaction problem for a reflexive k-cycle is NP-complete for all $k \geq 4$.
Narayan Vikas
SIAM J. Comput.1
1999 Computational Complexity of Compaction to Cycles
Narayan Vikas
SODA1
1996 An O(n) Algorithm for Abelian p-Group Isomorphism and an O(n log n) Algorithm for Abelian Group Isomorphism
Narayan Vikas
J. Comput. Syst. Sci.1