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图的树分解及其算法应用研究进展
引用本文:高文宇,李绍华.图的树分解及其算法应用研究进展[J].计算机科学,2012,39(3):14-18.
作者姓名:高文宇  李绍华
作者单位:(广东商学院信息学院 广州510320)
基金项目:广东省自然科学基金(8151032001000013)资助
摘    要:图的树宽和树分解是图子式理论中发展起来的两个重要概念。图的树分解由于其本身的特性使得它在算法设计中有着极其重要的意义。从图的树宽特性、图的树分解算法、图的树分解在复杂算法问题求解中的应用等方面对近年来的相关研究进展做了深入的分析和介绍,结合一些简洁的实例分析了一些重要的原理和方法,讨论了其中的一些问题,并给出了今后的一些研究方向。

关 键 词:图子式  树宽  树分解  参数算法  近似算法

Tree Decomposition and its Applications in Algorithms:Survey
GAO Wen-yu LI Shao-hua.Tree Decomposition and its Applications in Algorithms:Survey[J].Computer Science,2012,39(3):14-18.
Authors:GAO Wen-yu LI Shao-hua
Affiliation:GAO Wen-yu LI Shao-hua(School of Computer Science,Guangdong University of Business Studies,Guangzhou 510320,China)
Abstract:Tree width and tree decomposition arc two important concepts developed by graph minor theory. Because of its own characteristics, tree decomposition plays an important role in algorithm design. The tree width of graph, tree decomposition algorithm, applications of tree decomposition algorithm for problem solving in a complex problems were deeply analysed. Three aspects of the related research in recent years were given a thorough analysis and presentation,and a number of important principles and methods were presented by some simple examples. Furthermore, a few future research issues were outlined.
Keywords:Graph minor  Tree width  Tree decomposition  Parameterized algorithm  Approximation algorithm
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