The selection of relaxation factor plays a key role in D?N domain decomposition methods(DDM).
N区域分解算法中，松弛因子的选取起着关键作用。
Domain decomposition method (DDM) is superior to the ordinary methods in solving complex domain problems.
区域分解方法在处理复杂求解区域问题上比一般常用方法要优越。
Then, from beginning the parallel decomposition in the parallel arithmetic, it discusses two kinds decomposition methods based on message transferring-domain decomposition and function decomposition.
于是，从并行算法中的并行分解开始，讨论了基于消息传递的两种分解方法——域分解法和功能分解法。
The paper presents and analyses the domain decomposition and function decomposition methods, the MIMD model brought about by the methods and parallel programming technique.
文章提出并分析了域分解和函数分解方法、方法导致的MIMD模式和并行程序设计技术。
The two methods of coarse granularity parallel by layers and domain decomposition parallel are put forward and used to realize the software parallelization.
对胜利油区广泛采用的多层二维二相油藏模拟模型开展了并行化研究，提出并采用按层粗粒度并行及区域分解并行两种方法实现软件的并行化。
The two methods of coarse granularity parallel by layers and domain decomposition parallel are put forward and used to realize the software parallelization.
对胜利油区广泛采用的多层二维二相油藏模拟模型开展了并行化研究，提出并采用按层粗粒度并行及区域分解并行两种方法实现软件的并行化。
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