Titlebook: Combinatorial Algorithms; 22th International W Costas S. Iliopoulos,William F. Smyth Conference proceedings 2011 Springer-Verlag GmbH Berli

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https://doi.org/10.1007/978-3-030-63223-6g) is a sophisticated string composed of symbols from a constant alphabet Σ and a parameter alphabet Π. We generalize the LPF problem to the parameterized longest previous factor (pLPF) problem defined for p-strings. Subsequently, we present a linear time solution to construct the . array. Given our

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Introduction: Exploring an Elephant,can be selected only if at least one of its neighbours is also selected. We give approximation algorithms and hardness results when the nodes have both uniform and arbitrary weight and profit functions, and when the dependency graph is directed and undirected.

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https://doi.org/10.1007/978-3-642-41467-1meterized algorithms are known. We present a novel search tree algorithm for the problem, which improves running time from .*(1.76.) to .*(1.62.). In detail, we can show that we can always branch with branching vector (2,1) or better, resulting in the golden ratio as the base of the search tree size

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Examples of Constructed Processesa given . ∈ ( 0,1 ], a non-isolated vertex is activated (resp., deactivated) in round . ∈ ℤ. if the fraction . of its neighboring vertices that were active in round . − 1 satisfies . ≥ . (resp., . < .). An irreversible cascade is defined similarly except that active vertices cannot be deactivated. A

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Examples of Constructed Processesis (1985) and conceptually related to the better known planar cover conjecture by Negami (1986). For over two decades, the planar emulator problem lived poorly in a shadow of Negami’s conjecture—which is still open—as the two were considered equivalent. But, in the end of 2008, a surprising construc

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https://doi.org/10.1007/978-3-642-41467-1 monotone read-once functions of the same variables. We describe an inductive procedure for obtaining individual lower and upper bounds on the minimal number of vectors .(.) in a checking test for any function .. The task of deriving the exact value of .(.) is reduced to a combinatorial optimization

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