{"title":"图刻录的近似算法和下界","authors":"Matej Lieskovský, Jirí Sgall, A. Feldmann","doi":"10.4230/LIPIcs.APPROX/RANDOM.2023.9","DOIUrl":null,"url":null,"abstract":"Graph Burning models information spreading in a given graph as a process such that in each step one node is infected (informed) and also the infection spreads to all neighbors of previously infected nodes. Formally, given a graph G = ( V, E ), possibly with edge lengths, the burning number b ( G ) is the minimum number g such that there exist nodes v 0 , . . . , v g − 1 ∈ V satisfying the property that for each u ∈ V there exists i ∈ { 0 , . . . , g − 1 } so that the distance between u and v i is at most i . We present a randomized 2 . 314-approximation algorithm for computing the burning number of a general graph, even with arbitrary edge lengths. We complement this by an approximation lower bound of 2 for the case of equal length edges, and a lower bound of 4 / 3 for the case when edges are restricted to have length 1. This improves on the previous 3-approximation algorithm and an APX-hardness result.","PeriodicalId":54319,"journal":{"name":"Spin","volume":null,"pages":null},"PeriodicalIF":1.3000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Approximation Algorithms and Lower Bounds for Graph Burning\",\"authors\":\"Matej Lieskovský, Jirí Sgall, A. Feldmann\",\"doi\":\"10.4230/LIPIcs.APPROX/RANDOM.2023.9\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Graph Burning models information spreading in a given graph as a process such that in each step one node is infected (informed) and also the infection spreads to all neighbors of previously infected nodes. Formally, given a graph G = ( V, E ), possibly with edge lengths, the burning number b ( G ) is the minimum number g such that there exist nodes v 0 , . . . , v g − 1 ∈ V satisfying the property that for each u ∈ V there exists i ∈ { 0 , . . . , g − 1 } so that the distance between u and v i is at most i . We present a randomized 2 . 314-approximation algorithm for computing the burning number of a general graph, even with arbitrary edge lengths. We complement this by an approximation lower bound of 2 for the case of equal length edges, and a lower bound of 4 / 3 for the case when edges are restricted to have length 1. This improves on the previous 3-approximation algorithm and an APX-hardness result.\",\"PeriodicalId\":54319,\"journal\":{\"name\":\"Spin\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.3000,\"publicationDate\":\"2023-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Spin\",\"FirstCategoryId\":\"101\",\"ListUrlMain\":\"https://doi.org/10.4230/LIPIcs.APPROX/RANDOM.2023.9\",\"RegionNum\":4,\"RegionCategory\":\"物理与天体物理\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"PHYSICS, APPLIED\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Spin","FirstCategoryId":"101","ListUrlMain":"https://doi.org/10.4230/LIPIcs.APPROX/RANDOM.2023.9","RegionNum":4,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"PHYSICS, APPLIED","Score":null,"Total":0}
Approximation Algorithms and Lower Bounds for Graph Burning
Graph Burning models information spreading in a given graph as a process such that in each step one node is infected (informed) and also the infection spreads to all neighbors of previously infected nodes. Formally, given a graph G = ( V, E ), possibly with edge lengths, the burning number b ( G ) is the minimum number g such that there exist nodes v 0 , . . . , v g − 1 ∈ V satisfying the property that for each u ∈ V there exists i ∈ { 0 , . . . , g − 1 } so that the distance between u and v i is at most i . We present a randomized 2 . 314-approximation algorithm for computing the burning number of a general graph, even with arbitrary edge lengths. We complement this by an approximation lower bound of 2 for the case of equal length edges, and a lower bound of 4 / 3 for the case when edges are restricted to have length 1. This improves on the previous 3-approximation algorithm and an APX-hardness result.
SpinMaterials Science-Electronic, Optical and Magnetic Materials
CiteScore
2.10
自引率
11.10%
发文量
34
期刊介绍:
Spin electronics encompasses a multidisciplinary research effort involving magnetism, semiconductor electronics, materials science, chemistry and biology. SPIN aims to provide a forum for the presentation of research and review articles of interest to all researchers in the field.
The scope of the journal includes (but is not necessarily limited to) the following topics:
*Materials:
-Metals
-Heusler compounds
-Complex oxides: antiferromagnetic, ferromagnetic
-Dilute magnetic semiconductors
-Dilute magnetic oxides
-High performance and emerging magnetic materials
*Semiconductor electronics
*Nanodevices:
-Fabrication
-Characterization
*Spin injection
*Spin transport
*Spin transfer torque
*Spin torque oscillators
*Electrical control of magnetic properties
*Organic spintronics
*Optical phenomena and optoelectronic spin manipulation
*Applications and devices:
-Novel memories and logic devices
-Lab-on-a-chip
-Others
*Fundamental and interdisciplinary studies:
-Spin in low dimensional system
-Spin in medical sciences
-Spin in other fields
-Computational materials discovery