A Systematic Approach to Computations on Decomposable Graphs

E. Ravve, Z. Volkovich
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引用次数: 5

Abstract

In this paper, we try to build a bridge between pure theoretical approach to computations on decomposable graphs and heuristics, used in practice for treatment of particular cases of them. In theory, Feferman and Vaught in 1959 proposed a method to reduce solution of First Order definable problems on Disjoint Union of structures to solutions of derived problems on the components with some post-processing of the obtained results. In practice, the literature is very reach in examples of particular methods to deal with different variations of graphs, built from components. From the theoretical point of view we adapt and generalize the Feferman-Vaught method. We define a new kind of decomposable graphs: sum-like graphs and propose a new systematic approach, which allows us to reduce the solution of Monadic Second Order definable problems on such graphs to the solution of effectively derivable Monadic Second Order definable problems on the components. From the practical point of view, we consider in great details one application of our approach in the field of parallel computations on distributed data.
可分解图的系统计算方法
在本文中,我们试图在可分解图的纯理论计算方法和启发式方法之间建立一座桥梁,启发式方法在实践中用于处理可分解图的特定情况。理论上,Feferman和Vaught(1959)提出了一种方法,将结构不相交并上的一阶可定义问题的解简化为构件上的衍生问题的解,并对所得结果进行一些后处理。在实践中,文献中有很多处理由组件构建的图形的不同变化的特定方法的例子。从理论的角度对费曼-沃特方法进行了改进和推广。我们定义了一类新的可分解图:类和图,并提出了一种新的系统方法,使我们能够将该类图上一元二阶可定义问题的解简化为分量上有效可导一元二阶可定义问题的解。从实际的角度来看,我们非常详细地考虑了我们的方法在分布式数据并行计算领域的一个应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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