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Titlebook: Computer Science -- Theory and Applications; 7th International Co Edward A. Hirsch,Juhani Karhum?ki,Michail Prilutsk Conference proceedings

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樓主: BREED
11#
發(fā)表于 2025-3-23 12:24:30 | 只看該作者
12#
發(fā)表于 2025-3-23 14:06:27 | 只看該作者
13#
發(fā)表于 2025-3-23 19:45:36 | 只看該作者
The Complexity of Minor-Ancestral Graph Properties with Forbidden Pairsannakakis [14] showed that for any nontrivial node-hereditary graph property, the problem of given a graph, finding the size of the largest induced subgraph of the graph that has the property, is .-hard. In this paper, we completely characterize those minor-ancestral properties for which the problem
14#
發(fā)表于 2025-3-24 01:22:56 | 只看該作者
Satisfiability Thresholds beyond ,??XORSATlity threshold of such systems occurs where the 2??core has density 1. We show a similar result for random uniquely extendible constraints over 4 elements. Our results extend previous results of Dubois/Mandler for equations mod 2 and .?=?3 and Connamacher/Molloy for uniquely extendible constraints o
15#
發(fā)表于 2025-3-24 05:45:20 | 只看該作者
Finding Vertex-Surjective Graph Homomorphisms host graph. The bijective and injective homomorphism problems can be formulated in terms of spanning subgraphs and subgraphs, and as such their computational complexity has been extensively studied. What about the surjective variant? Because this problem is NP-complete in general, we restrict the g
16#
發(fā)表于 2025-3-24 09:34:58 | 只看該作者
Broadcast Domination on Block Graphs in Linear Timerom a vertex . with .(.)?>?0. The . problem seeks to compute a broadcast domination where the sum of the assigned values is minimized. We show that . can be solved in linear time on block graphs. For general graphs the best known algorithm runs in time .. For trees and interval graphs, linear-time a
17#
發(fā)表于 2025-3-24 13:45:40 | 只看該作者
18#
發(fā)表于 2025-3-24 18:44:48 | 只看該作者
Descriptional Complexity of Operations on Alternating and Boolean Automatate is 2.?+?1. This solves an open problem stated by Fellah . (Intern. J. Computer Math. 35, 1990, 117–132). Then we examine the complexity of basic operations on languages represented by boolean and alternating finite automata. We get tight bounds for intersection and union, and for concatenation an
19#
發(fā)表于 2025-3-24 21:59:46 | 只看該作者
Gisela Henrici-Olivé,Salvador Olivé remained elusive..The latter question can clearly benefit from the powerful tools of modern complexity theory and algorithms. In this talk, we will provide an in-depth overview of the fascinating theory that has emerged around this question over the last decade.
20#
發(fā)表于 2025-3-25 02:09:56 | 只看該作者
The Chemistry of the Non-Metalsme. This improves the previous known result for ...Our deterministric sorting relies on the notion of an approximate .-th order statistic. For this auxiliary problem, we devise a deterministic algorithm that runs in . time and produces a key (either corrupted or not) whose order rank differs from . by at most .(.).
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