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Somnath Sikdar

dblp:70/1506 · DBLP profile ↗
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28ranked-venue papers
0as first author
0since 2021 · last 2019
—ORCID · none

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

Theory of computation · 28Databases, data management, data science and information retrieval · 1

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
4 papers
Computational complexity · 45% Graph algorithms and graph theory · 30% Algorithms and data structures · 25%

Topics — the 10 heaviest of 10, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Algorithms and data structures
parameterized algorithms
0.632016
Linear Kernels and Single-Exponential Algorithms Via Protrusion Decompositions · ACM Trans. Algorithms 2016
A Faster Parameterized Algorithm for Treedepth · ICALP (1) 2014
Polynomial kernels for dominating set in graphs of bounded degeneracy and beyond · ACM Trans. Algorithms 2012
Computational complexity › parameterized complexity
kernelization
0.632016
Linear Kernels and Single-Exponential Algorithms Via Protrusion Decompositions · ACM Trans. Algorithms 2016
Linear Kernels and Single-Exponential Algorithms via Protrusion Decompositions · ICALP (1) 2013
Polynomial kernels for dominating set in graphs of bounded degeneracy and beyond · ACM Trans. Algorithms 2012
Graph algorithms and graph theory › graph theory › graph parameters › graph width parameters
treewidth
0.212016
Linear Kernels and Single-Exponential Algorithms Via Protrusion Decompositions · ACM Trans. Algorithms 2016
Graph algorithms and graph theory › graph theory › graph parameters › graph width parameters
treedepth
0.212014
A Faster Parameterized Algorithm for Treedepth · ICALP (1) 2014
Computational complexity › parameterized complexity
fixed-parameter tractability
0.212013
Linear Kernels and Single-Exponential Algorithms via Protrusion Decompositions · ICALP (1) 2013
Computational complexity
parameterized complexity
0.212013
Linear Kernels and Single-Exponential Algorithms via Protrusion Decompositions · ICALP (1) 2013
Graph algorithms and graph theory
dominating set
0.112012
Polynomial kernels for dominating set in graphs of bounded degeneracy and beyond · ACM Trans. Algorithms 2012
Computational complexity › parameterized complexity › kernelization
polynomial kernel
0.112012
Polynomial kernels for dominating set in graphs of bounded degeneracy and beyond · ACM Trans. Algorithms 2012
Graph algorithms and graph theory
graph minors
0.112016
Linear Kernels and Single-Exponential Algorithms Via Protrusion Decompositions · ACM Trans. Algorithms 2016
Graph algorithms and graph theory › graph classes › sparse graphs
bounded degeneracy graphs
0.012012
Polynomial kernels for dominating set in graphs of bounded degeneracy and beyond · ACM Trans. Algorithms 2012

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

treewidth modulator · 0.2protrusion decomposition · 0.2parameterized algorithms · 0.2kernel construction · 0.1FPT algorithm · 0.1
YearPublicationVenuePosition
2019 Structural sparsity of complex networks: Bounded expansion in random models and real-world graphs
Erik D. Demaine, Felix Reidl, Peter Rossmanith, Fernando Sánchez Villaamil, Somnath Sikdar, Blair D. Sullivan
J. Comput. Syst. Sci.5
2018 Moderately exponential time algorithms for the maximum bounded-degree-1 set problem
Maw-Shang Chang, Li-Hsuan Chen, Ling-Ju Hung, Yi-Zhi Liu, Peter Rossmanith, Somnath Sikdar
Discret. Appl. Math.6
2017 Kernelization using structural parameters on sparse graph classes
Jakub Gajarský, Petr Hlinený, Jan Obdrzálek, Sebastian Ordyniak, Felix Reidl, Peter Rossmanith, Fernando Sánchez Villaamil, Somnath Sikdar
J. Comput. Syst. Sci.8
2016 Kernelization and Sparseness: the Case of Dominating Set
Pål Grønås Drange, Markus S. Dregi, Fedor V. Fomin, Stephan Kreutzer, Daniel Lokshtanov, Marcin Pilipczuk, Michal Pilipczuk, Felix Reidl, Fernando Sánchez Villaamil, Saket Saurabh 0001, Sebastian Siebertz, Somnath Sikdar
STACS12
2016 Linear Kernels and Single-Exponential Algorithms Via Protrusion Decompositions
abstract
We present a linear-time algorithm to compute a decomposition scheme for graphs G that have a set X ⊆ V ( G ), called a treewidth-modulator , such that the treewidth of G − X is bounded by a constant. Our decomposition, called a protrusion decomposition , is the cornerstone in obtaining the following two main results. Our first result is that any parameterized graph problem (with parameter k ) that has a finite integer index and such that Y es -instances have a treewidth-modulator of size O ( k ) admits a linear kernel on the class of H -topological-minor-free graphs, for any fixed graph H . This result partially extends previous meta-theorems on the existence of linear kernels on graphs of bounded genus and H -minor-free graphs. Let F be a fixed finite family of graphs containing at least one planar graph. Given an n -vertex graph G and a non-negative integer k , P lanar - F -D eletion asks whether G has a set X ⊆ V ( G ) such that | X | ⩽ k and G − X is H -minor-free for every H ϵ F . As our second application, we present the first single-exponential algorithm to solve P lanar - F -D eletion . Namely, our algorithm runs in time 2 O ( k ) · n 2 , which is asymptotically optimal with respect to k . So far, single-exponential algorithms were only known for special cases of the family F .
Eun Jung Kim 0002, Alexander Langer, Christophe Paul, Felix Reidl, Peter Rossmanith, Ignasi Sau, Somnath Sikdar
ACM Trans. Algorithms7
2015 Fast Biclustering by Dual Parameterization
abstract
We study two clustering problems, Starforest Editing, the problem of adding and deleting edges to obtain a disjoint union of stars, and the generalization Bicluster Editing. We show that, in addition to being NP-hard, none of the problems can be solved in subexponential time unless the exponential time hypothesis fails. Misra, Panolan, and Saurabh (MFCS 2013) argue that introducing a bound on the number of connected components in the solution should not make the problem easier: In particular, they argue that the subexponential time algorithm for editing to a fixed number of clusters (p-Cluster Editing) by Fomin et al. (J. Comput. Syst. Sci., 80(7) 2014) is an exception rather than the rule. Here, p is a secondary parameter, bounding the number of components in the solution. However, upon bounding the number of stars or bicliques in the solution, we obtain algorithms which run in time O(2^{3*sqrt(pk)} + n + m) for p-Starforest Editing and O(2^{O(p * sqrt(k) * log(pk))} + n + m) for p-Bicluster Editing. We obtain a similar result for the more general case of t-Partite p-Cluster Editing. This is subexponential in k for a fixed number of clusters, since p is then considered a constant. Our results even out the number of multivariate subexponential time algorithms and give reasons to believe that this area warrants further study.
Pål Grønås Drange, Felix Reidl, Fernando Sánchez Villaamil, Somnath Sikdar
IPEC4
2014 A Faster Parameterized Algorithm for Treedepth
Felix Reidl, Peter Rossmanith, Fernando Sánchez Villaamil, Somnath Sikdar
ICALP (1)4
2014 Finite Integer Index of Pathwidth and Treewidth
Jakub Gajarský, Jan Obdrzálek, Sebastian Ordyniak, Felix Reidl, Peter Rossmanith, Fernando Sánchez Villaamil, Somnath Sikdar
IPEC7
2014 Lower bounds on the complexity of MSO1 model-checking
Robert Ganian, Petr Hlinený, Alexander Langer, Jan Obdrzálek, Peter Rossmanith, Somnath Sikdar
J. Comput. Syst. Sci.6
2013 Kernelization Using Structural Parameters on Sparse Graph Classes
Jakub Gajarský, Petr Hlinený, Jan Obdrzálek, Sebastian Ordyniak, Felix Reidl, Peter Rossmanith, Fernando Sánchez Villaamil, Somnath Sikdar
ESA8
2013 Linear Kernels and Single-Exponential Algorithms via Protrusion Decompositions
Eun Jung Kim 0002, Alexander Langer, Christophe Paul, Felix Reidl, Peter Rossmanith, Ignasi Sau, Somnath Sikdar
ICALP (1)7
2013 The Parameterized Complexity of Unique Coverage and Its Variants
Neeldhara Misra, Hannes Moser, Venkatesh Raman 0001, Saket Saurabh 0001, Somnath Sikdar
Algorithmica5
2012 Evaluation of an MSO-Solver
abstract
A fundamental theorem of Courcelle states that every problem definable in Monadic Second-Order Logic (MSO) is solvable in linear time on graphs of bounded treewidth.In this paper, we report on our ongoing effort to develop a general purpose software tool designed to solve MSO-definable optimization and decision problems on graphs of small treewidth.We discuss the theoretical underpinnings of our tool and present experimental results, which indicate that for some natural optimization problems MSO based approaches might be a suitable alternative to ILP solvers.
Alexander Langer, Felix Reidl, Peter Rossmanith, Somnath Sikdar
ALENEX4
2012 Lower Bounds on the Complexity of MSO_1 Model-Checking
abstract
One of the most important algorithmic meta-theorems is a famous result by Courcelle, which states that any graph problem definable in monadic second-order logic with edge-set quantifications (MSO2) is decidable in linear time on any class of graphs of bounded tree-width. In the parlance of parameterized complexity, this means that MSO2 model-checking is fixed-parameter tractable with respect to the tree-width as parameter. Recently, Kreutzer and Tazari proved a corresponding complexity lower-bound---that MSO2 model-checking is not even in XP wrt the formula size as parameter for graph classes that are subgraph-closed and whose tree-width is poly-logarithmically unbounded. Of course, this is not an unconditional result but holds modulo a certain complexity-theoretic assumption, namely, the Exponential Time Hypothesis (ETH). In this paper we present a closely related result. We show that even MSO1 model-checking with a fixed set of vertex labels, but without edge-set quantifications, is not in XP wrt the formula size as parameter for graph classes which are subgraph-closed and whose tree-width is poly-logarithmically unbounded unless the non-uniform ETH fails. In comparison to Kreutzer and Tazari, (1) we use a stronger prerequisite, namely non-uniform instead of uniform ETH, to avoid the effectiveness assumption and the construction of certain obstructions used in their proofs; and (2) we assume a different set of problems to be efficiently decidable, namely MSO1-definable properties on vertex labeled graphs instead of MSO2-definable properties on unlabeled graphs. Our result has an interesting consequence in the realm of digraph width measures: Strengthening a recent result, we show that no subdigraph-monotone measure can be algorithmically useful, unless it is within a poly-logarithmic factor of (undirected) tree-width.
Robert Ganian, Petr Hlinený, Alexander Langer, Jan Obdrzálek, Peter Rossmanith, Somnath Sikdar
STACS6
2012 The Parameterized Complexity of Stabbing Rectangles
Michael Dom, Michael R. Fellows, Frances A. Rosamond, Somnath Sikdar
Algorithmica4
2012 Polynomial kernels for dominating set in graphs of bounded degeneracy and beyond
abstract
We show that for every fixed j ≥ i ≥ 1, the k -D ominating S et problem restricted to graphs that do not have K ij (the complete bipartite graph on ( i + j ) vertices, where the two parts have i and j vertices, respectively) as a subgraph is fixed parameter tractable (FPT) and has a polynomial kernel. We describe a polynomial-time algorithm that, given a K i,j -free graph G and a nonnegative integer k , constructs a graph H (the “kernel”) and an integer k ' such that (1) G has a dominating set of size at most k if and only if H has a dominating set of size at most k ', (2) H has O (( j + 1) i + 1 k i 2 ) vertices, and (3) k ' = O (( j + 1) i + 1 k i 2 ). Since d -degenerate graphs do not have K d+1,d+1 as a subgraph, this immediately yields a polynomial kernel on O (( d + 2) d +2 k ( d + 1) 2 ) vertices for the k -D ominating S et problem on d -degenerate graphs, solving an open problem posed by Alon and Gutner [Alon and Gutner 2008; Gutner 2009]. The most general class of graphs for which a polynomial kernel was previously known for k -D ominating S et is the class of K h -topological-minor-free graphs [Gutner 2009]. Graphs of bounded degeneracy are the most general class of graphs for which an FPT algorithm was previously known for this problem. K h -topological-minor-free graphs are K i,j -free for suitable values of i,j (but not vice-versa), and so our results show that k -D ominating S et has both FPT algorithms and polynomial kernels in strictly more general classes of graphs. Using the same techniques, we also obtain an O ( jk i ) vertex-kernel for the k -I ndependent D ominating S et problem on K i,j -free graphs.
Geevarghese Philip, Venkatesh Raman 0001, Somnath Sikdar
ACM Trans. Algorithms3
2011 Linear-Time Algorithms for Graphs of Bounded Rankwidth: A Fresh Look Using Game Theory - (Extended Abstract)
Alexander Langer, Peter Rossmanith, Somnath Sikdar
TAMC3
2011 The Complexity of König Subgraph Problems and Above-Guarantee Vertex Cover
Sounaka Mishra, Venkatesh Raman 0001, Saket Saurabh 0001, Somnath Sikdar, C. R. Subramanian 0001
Algorithmica4
2010 Are There Any Good Digraph Width Measures?
Robert Ganian, Petr Hlinený, Joachim Kneis, Daniel Meister 0001, Jan Obdrzálek, Peter Rossmanith, Somnath Sikdar
IPEC7
2009 Solving Dominating Set in Larger Classes of Graphs: FPT Algorithms and Polynomial Kernels
Geevarghese Philip, Venkatesh Raman 0001, Somnath Sikdar
ESA3
2009 Simpler Parameterized Algorithm for OCT
Daniel Lokshtanov, Saket Saurabh 0001, Somnath Sikdar
IWOCA3
2009 The parameterized complexity of the induced matching problem
Hannes Moser, Somnath Sikdar
Discret. Appl. Math.2
2009 Parameterizing above or below guaranteed values
Meena Mahajan, Venkatesh Raman 0001, Somnath Sikdar
J. Comput. Syst. Sci.3
2008 König Deletion Sets and Vertex Covers above the Matching Size
Sounaka Mishra, Venkatesh Raman 0001, Saket Saurabh 0001, Somnath Sikdar
ISAAC4
2007 The Complexity of Finding Subgraphs Whose Matching Number Equals the Vertex Cover Number
Sounaka Mishra, Venkatesh Raman 0001, Saket Saurabh 0001, Somnath Sikdar, C. R. Subramanian 0001
ISAAC4
2007 The Parameterized Complexity of the Unique Coverage Problem
Hannes Moser, Venkatesh Raman 0001, Somnath Sikdar
ISAAC3
2007 Parameterized complexity of the induced subgraph problem in directed graphs
Venkatesh Raman 0001, Somnath Sikdar
Inf. Process. Lett.2
2007 Efficient Exact Algorithms through Enumerating Maximal Independent Sets and Other Techniques
Venkatesh Raman 0001, Saket Saurabh 0001, Somnath Sikdar
Theory Comput. Syst.3