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Titlebook: Structural Information and Communication Complexity; 28th International C Tomasz Jurdziński,Stefan Schmid Conference proceedings 2021 Sprin

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Collecting Coupons is Faster with Friends the problem. While our analysis is in most cases asymptotically tight, there are several open questions raised, regarding finer-grained analysis of both “coupon collecting with friends,” and of a long-studied variant of the original problem in which a collector requires multiple full sets of coupon
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Near-Optimal Scheduling in the Congested Cliquelgorithm to the previous approaches and show their benefit..We schedule the set of jobs on-the-fly, without a priori knowledge of its parameters or the communication patterns of the jobs. In light of the inherent lower bounds, all of our algorithms are nearly-optimal..We exemplify the power of our a
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Threshold-Based Network Structural Dynamicsmeaningful microscopic local rules that give rise to interesting macroscopic behaviors. Our goals are the following: a) to investigate the properties of the .-Thresholded Network Dynamics and b) to show that .-Dynamics is expressive enough to solve complex problems on networks..Our contribution in t
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New Approximation Algorithms for the Heterogeneous Weighted Delivery Problem polynomial-time 8-approximation algorithm for ., closing a problem left open in [Bärtschi et al., ATMOS’17]. This algorithm can be turned into a .(.)-approximation algorithm that always runs in polynomial-time, regardless of the values of .. Then, we show that HWD problem is 36-approximable in poly
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Pebble Guided Near Optimal Treasure Hunt in Anonymous Graphshunt algorithm regardless of the number of pebbles are placed?.We show an algorithm that uses . pebbles to find the treasure in a graph . in time ., where . is the maximum degree of a node in . and . is the distance from the initial position of the agent to the treasure. We show an almost matching l
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