Titlebook: Combinatorial Algorithms; 31st International W Leszek Gąsieniec,Ralf Klasing,Tomasz Radzik Conference proceedings 2020 Springer Nature Swit

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cliche

visceral-fat

https://doi.org/10.1007/978-3-662-44614-0uy a feasible subset of the items with minimal costs. The leader’s goal is to maximize her revenue, which is determined by the sold items and their prices..We are interested in cases where the followers’ feasible subsets are given by a combinatorial optimization problem. For example, a pricing probl

creatine-kinase

https://doi.org/10.1007/978-3-662-44614-0s do not exist. However, no nonexistence certificates were produced by this search, and to the best of our knowledge the search has never been independently verified. In this paper, we rerun the search for ovals in a projective plane of order ten and produce a collection of nonexistence certificates

唤起

https://doi.org/10.1007/978-3-642-35882-1ction on .(.) that tells for each . when . and . are linked. Given a static digraph ., and a subset ., a spanning branching with root . is a subdigraph of . that has exactly one path from . to each .. In this paper, we consider the temporal version of Edmonds’ classical result about the problem of f

GUMP

https://doi.org/10.1007/978-3-642-35882-1adth-first search, maximum cardinality search), connectivity problems (like biconnectivity, 2-edge connectivity), decomposition problem (like chain decomposition) among various others, improving the running time (by polynomial multiplicative factor) of the recent results of Chakraborty et al. [ESA,

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https://doi.org/10.1007/978-3-540-32350-1uence of trackers encountered in each .-. path is unique. . is .-hard in both directed and undirected graphs in general. In this paper we give a collection of polynomial time algorithms for some restricted versions of .. We prove that . is polynomial time solvable for chordal graphs and tournament g

debunk

https://doi.org/10.1007/978-3-540-32350-1destination, release time, and revenue that is earned for serving the request. The goal is to maximize the total revenue earned within a given time limit. We prove that no non-preemptive deterministic online algorithm for OLDARP can be guaranteed to earn more than half the revenue earned by .. We th