Results 31 to 40 of about 128,668 (237)
Algorithms, 2020 In this paper, we study the relationship of parameterized enumeration complexity classes defined by Creignou et al. (MFCS 2013). Specifically, we introduce two hierarchies (IncFPTa and CapIncFPTa) of enumeration complexity classes for incremental fpt ...
Arne Meier
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Parameterized complexity of reconfiguration of atoms
Algorithmica, 2022 Abstract Our work is motivated by the challenges presented in preparing arrays of atoms for use in quantum simulation. The recently-developed process of loading atoms into traps results in approximately half of the traps being filled. To consolidate the atoms so that they form a dense and regular arrangement, such as all locations in a grid ...
Cooper, Alexandre +3 more
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Parameterized Complexity of Superstring Problems [PDF]
Algorithmica, 2015 In the Shortest Superstring problem we are given a set of strings $S=\{s_1, \ldots, s_n\}$ and integer $\ell$ and the question is to decide whether there is a superstring $s$ of length at most $\ell$ containing all strings of $S$ as substrings. We obtain several parameterized algorithms and complexity results for this problem. In particular, we give an
Petr A. Golovach +7 more
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Parameterized Complexity of Gerrymandering
, 2023 In a representative democracy, the electoral process involves partitioning geographical space into districts which each elect a single representative. These representatives craft and vote on legislation, incentivizing political parties to win as many districts as possible (ideally a plurality). Gerrymandering is the process by which district boundaries
Andrew Fraser +2 more
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On the parameterized complexity of 2-partitions [PDF]
Theoretical Computer Science, 2020 We give an FPT algorithm for deciding whether the vertex set a digraph $D$ can be partitioned into two disjoint sets $V_1,V_2$ such that the digraph $D[V_1]$ induced by $V_1$ has a vertex that can reach all other vertices by directed paths, the digraph $D[V_2]$ has no vertex of in-degree zero and $|V_i|\geq k_i$, where $k_1,k_2$ are part of the input ...
J.B. Andersen, J. Bang-Jensen, A. Yeo
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On the Parameterized Complexity of Polytree Learning [PDF]
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021 A Bayesian network is a directed acyclic graph that represents statistical dependencies between variables of a joint probability distribution. A fundamental task in data science is to learn a Bayesian network from observed data. Polytree Learning is the problem of learning an optimal Bayesian network that fulfills the additional property that its ...
Christian Komusiewicz +2 more
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Improving Vertex Cover as a Graph Parameter [PDF]
Discrete Mathematics & Theoretical Computer Science, 2015 Parameterized algorithms are often used to efficiently solve NP-hard problems on graphs. In this context, vertex cover is used as a powerful parameter for dealing with graph problems which are hard to solve even when parameterized by tree-width; however,
Robert Ganian
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A Brief Survey of Fixed-Parameter Parallelism
Algorithms, 2020 This paper provides an overview of the field of parameterized parallel complexity by surveying previous work in addition to presenting a few new observations and exploring potential new directions.
Faisal N. Abu-Khzam, Karam Al Kontar
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Taming the Chaos in Neural Network Time Series Predictions
Entropy, 2021 Machine learning methods, such as Long Short-Term Memory (LSTM) neural networks can predict real-life time series data. Here, we present a new approach to predict time series data combining interpolation techniques, randomly parameterized LSTM neural ...
Sebastian Raubitzek, Thomas Neubauer
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A Survey on Approximation in Parameterized Complexity: Hardness and Algorithms
Algorithms, 2020 Parameterization and approximation are two popular ways of coping with NP-hard problems. More recently, the two have also been combined to derive many interesting results.
Andreas Emil Feldmann +3 more
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