{"title":"$$\\alpha _i$$ -度量图形:半径、直径和所有偏心率","authors":"Feodor F. Dragan, Guillaume Ducoffe","doi":"10.1007/s00453-024-01223-6","DOIUrl":null,"url":null,"abstract":"<div><p>We extend known results on chordal graphs and distance-hereditary graphs to much larger graph classes by using only a common metric property of these graphs. Specifically, a graph is called <span>\\(\\alpha _i\\)</span>-metric (<span>\\(i\\in {\\mathcal {N}}\\)</span>) if it satisfies the following <span>\\(\\alpha _i\\)</span>-metric property for every vertices <i>u</i>, <i>w</i>, <i>v</i> and <i>x</i>: if a shortest path between <i>u</i> and <i>w</i> and a shortest path between <i>x</i> and <i>v</i> share a terminal edge <i>vw</i>, then <span>\\(d(u,x)\\ge d(u,v) + d(v,x)-i\\)</span>. Roughly, gluing together any two shortest paths along a common terminal edge may not necessarily result in a shortest path but yields a “near-shortest” path with defect at most <i>i</i>. It is known that <span>\\(\\alpha _0\\)</span>-metric graphs are exactly ptolemaic graphs, and that chordal graphs and distance-hereditary graphs are <span>\\(\\alpha _i\\)</span>-metric for <span>\\(i=1\\)</span> and <span>\\(i=2\\)</span>, respectively. We show that an additive <i>O</i>(<i>i</i>)-approximation of the radius, of the diameter, and in fact of all vertex eccentricities of an <span>\\(\\alpha _i\\)</span>-metric graph can be computed in total linear time. Our strongest results are obtained for <span>\\(\\alpha _1\\)</span>-metric graphs, for which we prove that a central vertex can be computed in subquadratic time, and even better in linear time for so-called <span>\\((\\alpha _1,\\varDelta )\\)</span>-metric graphs (a superclass of chordal graphs and of plane triangulations with inner vertices of degree at least 7). The latter answers a question raised in Dragan (Inf Probl Lett 154:105873, 2020), 2020). Our algorithms follow from new results on centers and metric intervals of <span>\\(\\alpha _i\\)</span>-metric graphs. In particular, we prove that the diameter of the center is at most <span>\\(3i+2\\)</span> (at most 3, if <span>\\(i=1\\)</span>). The latter partly answers a question raised in Yushmanov and Chepoi (Math Probl Cybernet 3:217–232, 1991).</p></div>","PeriodicalId":50824,"journal":{"name":"Algorithmica","volume":"86 7","pages":"2092 - 2129"},"PeriodicalIF":0.9000,"publicationDate":"2024-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s00453-024-01223-6.pdf","citationCount":"0","resultStr":"{\"title\":\"\\\\(\\\\alpha _i\\\\)-Metric Graphs: Radius, Diameter and all Eccentricities\",\"authors\":\"Feodor F. 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引用次数: 0
摘要
我们只使用了这些图的一个共同度量属性,就把关于弦图和距离遗传图的已知结果扩展到了更大的图类。具体来说,如果一个图对于每个顶点 u、w、v 和 x 都满足以下度量属性,那么这个图就叫做度量图:如果 u 和 w 之间的最短路径以及 x 和 v 之间的最短路径共享一条末端边 vw,那么(d(u,x)ge d(u,v) + d(v,x)-i/)。粗略地说,把任意两条最短路径沿着共同的末端边粘在一起不一定会得到一条最短路径,但会得到一条缺陷最多为 i 的 "接近最短 "的路径。已知 \(α _0\)-metric 图正是托勒密图,弦图和距离遗传图分别在 \(i=1\) 和 \(i=2\) 时是 \(α _i\)-metric 的。我们证明,一个 \(α _i\)-度量图的半径、直径以及所有顶点偏心率的加法O(i)-近似值都可以在总的线性时间内计算出来。我们最强的结果是针对 \(\alpha _1\)-度量图的,我们证明了中心顶点可以在亚二次方时间内计算出来,而对于所谓的 \((\alpha _1,\varDelta )\)-度量图(弦图和内顶点度数至少为7的平面三角形的超类)来说,线性时间甚至更好。后者回答了德拉甘(Inf Probl Lett 154:105873, 2020)提出的一个问题。)我们的算法源于关于 \(α _i\)-metric graphs 的中心和度量区间的新结果。特别是,我们证明了中心的直径最多为\(3i+2\)(如果\(i=1\),则最多为3)。后者部分回答了尤什马诺夫和切波(Math Probl Cybernet 3:217-232, 1991)中提出的一个问题。
\(\alpha _i\)-Metric Graphs: Radius, Diameter and all Eccentricities
We extend known results on chordal graphs and distance-hereditary graphs to much larger graph classes by using only a common metric property of these graphs. Specifically, a graph is called \(\alpha _i\)-metric (\(i\in {\mathcal {N}}\)) if it satisfies the following \(\alpha _i\)-metric property for every vertices u, w, v and x: if a shortest path between u and w and a shortest path between x and v share a terminal edge vw, then \(d(u,x)\ge d(u,v) + d(v,x)-i\). Roughly, gluing together any two shortest paths along a common terminal edge may not necessarily result in a shortest path but yields a “near-shortest” path with defect at most i. It is known that \(\alpha _0\)-metric graphs are exactly ptolemaic graphs, and that chordal graphs and distance-hereditary graphs are \(\alpha _i\)-metric for \(i=1\) and \(i=2\), respectively. We show that an additive O(i)-approximation of the radius, of the diameter, and in fact of all vertex eccentricities of an \(\alpha _i\)-metric graph can be computed in total linear time. Our strongest results are obtained for \(\alpha _1\)-metric graphs, for which we prove that a central vertex can be computed in subquadratic time, and even better in linear time for so-called \((\alpha _1,\varDelta )\)-metric graphs (a superclass of chordal graphs and of plane triangulations with inner vertices of degree at least 7). The latter answers a question raised in Dragan (Inf Probl Lett 154:105873, 2020), 2020). Our algorithms follow from new results on centers and metric intervals of \(\alpha _i\)-metric graphs. In particular, we prove that the diameter of the center is at most \(3i+2\) (at most 3, if \(i=1\)). The latter partly answers a question raised in Yushmanov and Chepoi (Math Probl Cybernet 3:217–232, 1991).
期刊介绍:
Algorithmica is an international journal which publishes theoretical papers on algorithms that address problems arising in practical areas, and experimental papers of general appeal for practical importance or techniques. The development of algorithms is an integral part of computer science. The increasing complexity and scope of computer applications makes the design of efficient algorithms essential.
Algorithmica covers algorithms in applied areas such as: VLSI, distributed computing, parallel processing, automated design, robotics, graphics, data base design, software tools, as well as algorithms in fundamental areas such as sorting, searching, data structures, computational geometry, and linear programming.
In addition, the journal features two special sections: Application Experience, presenting findings obtained from applications of theoretical results to practical situations, and Problems, offering short papers presenting problems on selected topics of computer science.