Titlebook: Algorithmic Aspects in Information and Management; 16th International C Qiufen Ni,Weili Wu Conference proceedings 2022 The Editor(s) (if ap

Ventricle

用樹皮

,Denkm?ler erhalten und ver?ndern,g the triangle inequality. In addition, the vertex set . is partitioned into clusters .. The objective of the problem is to find a minimum Hamiltonian path in ., and in the path all vertices of each cluster are visited consecutively. We provide a polynomial-time approximation algorithm for the probl

亞麻制品

allergy

Denkmalschutz: Genehmigungsverfahren,vailable, we propose an optimal online algorithm with a competitive ratio of .. If we are allowed to reassign at most . jobs after all the jobs have been scheduled, we propose an optimal online algorithm with a competitive ratio of ..

novelty

https://doi.org/10.1007/978-3-658-42828-0machine and a sequence of jobs that arrive on-line and must be immediately and irrevocably either assigned on the machine or rejected. The objective is to minimize the sum of the makespan of the accepted jobs and the penalty of the rejected jobs which is determined by a submodular function. We prove

揮舞

https://doi.org/10.1007/978-3-322-98850-8ic solution for the optimal dynamic rationing policy. To do this, we establish a policy-based birth-death process to show that the optimal dynamic rationing policy must be of transformational threshold type. Based on this finding, we can refine three sufficient conditions under each of which the opt

鍵琴

創(chuàng)造性

https://doi.org/10.1007/978-3-658-18398-1ive, we present a group strategy-proof mechanism with approximation ratio of 3. Then we prove the ratio is tight by giving a corresponding lower bound instance. This is also proved to be the best possible mechanism. For obnoxious two-facility location games with facility candidate locations, we stud

Ceramic

,Betrachtungen über das Flugproblem,ield focus on pool-based setting, where one can pick items in any order, and there have been few studies for the stream-based setting where items arrive in an arbitrary order and one must immediately decide whether to select an item or not upon its arrival. In this paper, we introduce a new class of

放牧

,Betrachtungen über das Flugproblem,ems whose states (i.e., the marginal contribution and the cost of an item) are drawn from a known probability distribution. The only way to know the realized state of an item is to select that item. We consider two constraints, i.e., . and . constraints. Recall that each item has a state-dependent c