
arXiv: 1907.12061
Golovach, Paulusma and Song (Inf. Comput. 2014) asked to determine the parameterized complexity of the following problems parameterized by $k$: (1) Given a graph $G$, a clique modulator $D$ (a clique modulator is a set of vertices, whose removal results in a clique) of size $k$ for $G$, and a list $L(v)$ of colors for every $v\in V(G)$, decide whether $G$ has a proper list coloring; (2) Given a graph $G$, a clique modulator $D$ of size $k$ for $G$, and a pre-coloring $��_P: X \rightarrow Q$ for $X \subseteq V(G),$ decide whether $��_P$ can be extended to a proper coloring of $G$ using only colors from $Q.$ For Problem 1 we design an $O^*(2^k)$-time randomized algorithm and for Problem 2 we obtain a kernel with at most $3k$ vertices. Banik et al. (IWOCA 2019) proved the the following problem is fixed-parameter tractable and asked whether it admits a polynomial kernel: Given a graph $G$, an integer $k$, and a list $L(v)$ of exactly $n-k$ colors for every $v \in V(G),$ decide whether there is a proper list coloring for $G.$ We obtain a kernel with $O(k^2)$ vertices and colors and a compression to a variation of the problem with $O(k)$ vertices and $O(k^2)$ colors.
list coloring, FOS: Computer and information sciences, Discrete Mathematics (cs.DM), Parameterized complexity, tractability and kernelization, List Coloring, Computational Complexity (cs.CC), Coloring of graphs and hypergraphs, Graph algorithms (graph-theoretic aspects), Computer Science - Data Structures and Algorithms, graph coloring, Data Structures and Algorithms (cs.DS), Nonnumerical algorithms, parameterized complexity, Parameterized Algorithms, Randomized algorithms, W-hardness, 004, Computer Science - Computational Complexity, Graph Coloring, Graph theory (including graph drawing) in computer science, kernelization, Kernelization, Computer Science - Discrete Mathematics, ddc: ddc:004
list coloring, FOS: Computer and information sciences, Discrete Mathematics (cs.DM), Parameterized complexity, tractability and kernelization, List Coloring, Computational Complexity (cs.CC), Coloring of graphs and hypergraphs, Graph algorithms (graph-theoretic aspects), Computer Science - Data Structures and Algorithms, graph coloring, Data Structures and Algorithms (cs.DS), Nonnumerical algorithms, parameterized complexity, Parameterized Algorithms, Randomized algorithms, W-hardness, 004, Computer Science - Computational Complexity, Graph Coloring, Graph theory (including graph drawing) in computer science, kernelization, Kernelization, Computer Science - Discrete Mathematics, ddc: ddc:004
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