圖論中的圖分割與圖匹配問題(英文版) [SOME ADVANCED TOPICS OF GRAPH PARTITIONING AND MATCHING PROBLEMS]

圖論中的圖分割與圖匹配問題(英文版) [SOME ADVANCED TOPICS OF GRAPH PARTITIONING AND MATCHING PROBLEMS] 下載 mobi epub pdf 電子書 2025

張曉岩,張贊波 著
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齣版社: 科學齣版社
ISBN:9787030495020
版次:1
商品編碼:12114972
包裝:平裝
外文名稱:SOME ADVANCED TOPICS OF GRAPH PARTITIONING AND MATCHING PROBLEMS
開本:16開
齣版時間:2017-01-01
用紙:膠版紙
頁數:150
正文語種:英文

具體描述

內容簡介

  This work is our selected results of research on graph partitioning and matching problems in the field of theoretical computer science and structural graph theory in recent years. After an introductory chapter, the reader will find six chapters, each of which is written as a self-contained content. In the first part of the work, Chapter 2 through 4, we concentrate on the complexity, inapproximability, approximation algorithms and on-line algorithms of some graph vertex partitioning problems. In the second part of the work, Chapter 5 through 7, we focus on the structural properties of some graph problems related to matching wluch can be regarded as edge partitioning problems. We refer to the listed chapters for the details of the results.
  Chapter 1 contains a short general introduction to the topics of the book and gives an overview of the main results, together with some motivation and connections to and relationships with older results. Specific terminology and notation can be found just before each of the topic8.
  In Chapter 2, we first investigate the computational complexity of problems of determining the minimum number of monochromatic cliques or rainbow cycles that, respectively, partition the vertex set V(G) of a graph G. We show that the minimum monochromatic clique partition problem is APX-hard on K4 -free graphs and monochromatic-K4 -free graphs, and APX-complete on monochromatic-K4 - free graphs in which the size of a max:imum monochromatic clique is bounded by a constant. We also show that the minimum rainbow cycle partition problem is NP-complete, even if the input graph G is triangle-free. Moreover, for the weighted version of the minimum monochromatic clique partition problem on monochromatic-K4 -free graphs, we derive an approximation algorithm with (tight) approximation guarantee In |V (G)|+1.

內頁插圖

目錄







前言/序言

  This work is our selected results of research on graph partitioning and matching problems in the field of theoretical computer science and structural graph theory in recent years. After an introductory chapter, the reader will find six chapters, each of which is written as a self-contained content. In the first part of the work, Chapter 2 through 4, we concentrate on the complexity, inapproximability, approximation algorithms and on-line algorithms of some graph vertex partitioning problems. In the second part of the work, Chapter 5 through 7, we focus on the structural properties of some graph problems related to matching wluch can be regarded as edge partitioning problems. We refer to the listed chapters for the details of the results.
  Chapter 1 contains a short general introduction to the topics of the book and gives an overview of the main results, together with some motivation and connections to and relationships with older results. Specific terminology and notation can be found just before each of the topic8.
  In Chapter 2, we first investigate the computational complexity of problems of determining the minimum number of monochromatic cliques or rainbow cycles that, respectively, partition the vertex set V(G) of a graph G. We show that the minimum monochromatic clique partition problem is APX-hard on K4 -free graphs and monochromatic-K4 -free graphs, and APX-complete on monochromatic-K4 - free graphs in which the size of a max:imum monochromatic clique is bounded by a constant. We also show that the minimum rainbow cycle partition problem is NP-complete, even if the input graph G is triangle-free. Moreover, for the weighted version of the minimum monochromatic clique partition problem on monochromatic-K4 -free graphs, we derive an approximation algorithm with (tight) approximation guarantee In |V (G)|+1.

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