scholarly journals Correction to: Parameterized Complexity of Min-Power Asymmetric Connectivity

Author(s):  
Matthias Bentert ◽  
Roman Haag ◽  
Christian Hofer ◽  
Tomohiro Koana ◽  
André Nichterlein
2021 ◽  
Vol 867 ◽  
pp. 1-12
Author(s):  
Lawqueen Kanesh ◽  
Soumen Maity ◽  
Komal Muluk ◽  
Saket Saurabh

1994 ◽  
Vol 25 (3) ◽  
pp. 122-123 ◽  
Author(s):  
Michael T. Hallett ◽  
H. Todd Wareham

2020 ◽  
Vol 847 ◽  
pp. 27-38
Author(s):  
Christian Komusiewicz ◽  
Mateus de Oliveira Oliveira ◽  
Meirav Zehavi

2021 ◽  
Vol 51 (4) ◽  
pp. 4-5
Author(s):  
Frederic Green

The three books reviewed in this column are about central ideas in algorithms, complexity, and geometry. The third one brings together topics from the first two by applying techniques of both property testing (the subject of the first book) and parameterized complexity (including its more focused incarnation studied in the second book, kernelization) to geometric problems.


2002 ◽  
Vol 31 (4) ◽  
pp. 86-96 ◽  
Author(s):  
Martin Grohe

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Yinglei Song

Abstract In this paper, we study the parameterized complexity of the induced matching problem in hamiltonian bipartite graphs and the inapproximability of the maximum induced matching problem in hamiltonian bipartite graphs. We show that, given a hamiltonian bipartite graph, the induced matching problem is W[1]-hard and cannot be solved in time n o ⁢ ( k ) {n^{o(\sqrt{k})}} , where n is the number of vertices in the graph, unless the 3SAT problem can be solved in subexponential time. In addition, we show that unless NP = P {\operatorname{NP}=\operatorname{P}} , a maximum induced matching in a hamiltonian bipartite graph cannot be approximated within a ratio of n 1 / 4 - ϵ {n^{1/4-\epsilon}} , where n is the number of vertices in the graph.


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