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Titlebook: Algorithmsand Complexity; 12th International C Tiziana Calamoneri,Federico Corò Conference proceedings 2021 Springer Nature Switzerland AG

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,Das Kapital in der Wirtschaft Robinson’s,in polynomial time. This contrasts the strong NP-hardness of the problem variant with arbitrary (and even equal multiplicative) laxity. Further, we give a fully polynomial-time approximation scheme for the weakly NP-hard weighted problem. Our single-machine algorithm can be used repeatedly to schedu
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,Das Kapital in der Wirtschaft Robinson’s, . is the number of increasing runs in a sequence. Deterministically finding the median has fragile complexity . and .. Deterministic sorting has fragile complexity . but it has fragile complexity . regardless of the number of runs.
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Der Karriere-Kompass für Studierendeo .. We finally show that this time-approximation trade-off is tight, up to an arbitrarily small constant in the second exponent: under the randomized ETH, and for any ratio . and ., no algorithm can output an .-approximation in time .. Hence, we completely characterize the approximability of the pr
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,Kaspar Hauser — ein Opfer der Erziehung,letions. Nevertheless, we develop several effective data reduction and pruning rules, resulting in a competitive solver, outperforming a standard CPLEX solver in most instances of an established biological test data set.
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Reconfiguration of Connected Graph Partitions via Recombinationansformation is always possible using at most . recombinations. (2) If . is Hamiltonian, the transformation is possible using .(.) recombinations for any ., and (3) we provide negative instances for .. (4) We show that the problem is PSPACE-complete when . and ., for any constant ., even for restric
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On Vertex-Weighted Graph Realizationsyclic graphs. However, checking the respective criteria is shown to be NP-hard..In the second part, we advance the study in general graphs. In [.] it was observed that any requirements vector . where . is even can be realized. For odd ., the question of whether . is realizable is framed as whether .
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Upper Tail Analysis of Bucket Sort and Random Triest, the probability that Bucket Sort takes . more time than expected is exponential in .. When a . algorithm is used to sort the keys in a bucket, the exponent becomes .. We prove this latter theorem by showing an upper bound on the tail of a random variable defined on tries, a result which we believ
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