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Method for solving a large sparse triangular system of linear equations

机译:求解大型稀疏线性方程组的方法

摘要

A computer-based method and system comprising three data structures: partially ordered data structure (or simply ordered data structure), contiguous list v, and vector p, is used for solving a large sparse triangular system of linear equations which utilizes only the non-zero components of a matrix to solve large sparse triangular linear equations and generates explicitly only the non-zero entries of the solution. A list of the row indices of the known non-zero values of x which require further processing is stored in the ordered data structure. Actual non-zero values of x are stored in the contiguous list v and the corresponding pointers to the location of these values are stored in the vector p. The computer-based method manipulates these three matrices to find a solution to an upper or lower sparse triangular system of linear equations. In addition, in the instance a matrix becomes dense (or increases in density) by the presence of many active rows, a partitioning method is described via which the dense matrix problem is solved.
机译:一种基于计算机的方法和系统,包括以下三种数据结构:部分有序的数据结构(或简单有序的数据结构),连续列表v和向量p,用于求解线性稀疏三角方程组,该系统仅利用非-求解大型稀疏三角线性方程组的矩阵的零分量,并仅显式生成解决方案的非零项。需要排序的x的已知非零值的行索引列表存储在有序数据结构中。 x的实际非零值存储在连续列表v中,而指向这些值位置的相应指针存储在向量p中。基于计算机的方法处理这三个矩阵,以找到线性方程组的上或下稀疏三角系统的解决方案。另外,在矩阵由于许多活动行的存在而变得密集(或密度增加)的情况下,描述了一种分区方法,通过该方法解决了密集矩阵问题。

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