Results 21 to 30 of about 147,152 (326)
Parameterized complexity of reconfiguration of atoms
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 Broadcasting in Graphs
The task of the broadcast problem is, given a graph G and a source vertex s, to compute the minimum number of rounds required to disseminate a piece of information from s to all vertices in the graph. It is assumed that, at each round, an informed vertex can transmit the information to at most one of its neighbors.
Fomin, Fedor +2 more
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Parameterized Complexity of Eulerian Deletion Problems. [PDF]
We study a family of problems where the goal is to make a graph Eulerian, i.e., connected and with all the vertices having even degrees, by a minimum number of deletions. We completely classify the parameterized complexity of various versions: undirected or directed graphs, vertex or edge deletions, with or without the requirement of connectivity, etc.
Cygan M +4 more
europepmc +10 more sources
Parameterized complexity of quantum invariants [PDF]
We give a general fixed parameter tractable algorithm to compute quantum invariants of links presented by diagrams, whose complexity is singly exponential in the carving-width (or the tree-width) of the diagram. In particular, we get a $O(N^{\frac{3}{2} \mathrm{cw}} \mathrm{poly}(n))$ time algorithm to compute any Reshetikhin-Turaev invariant---derived
Clément Maria
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On the parameterized complexity of (k,s)-SAT [PDF]
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Paulusma, D., Szeider, S.
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Improving Vertex Cover as a Graph Parameter [PDF]
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
doaj +1 more source
A Survey on Approximation in Parameterized Complexity: Hardness and Algorithms
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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Taming the Chaos in Neural Network Time Series Predictions
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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Computation Models for Parameterized Complexity [PDF]
AbstractA parameterized computational problem is a set of pairs (x,k), wherekis a distinguished item called “parameter”. FPT is the class of fixed‐parameter tractable problems: for any fixed value ofk, they are solvable in time bounded by a polynomial of degree α, where α is a constant not dependent on the parameter. In order to deal with parameterized
Cesati M., Di Ianni M.
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A Brief Survey of Fixed-Parameter Parallelism
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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