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基于隐式算法的建筑结构非线性分析方法不可避免的要涉及到线性方程组的求解问题。线性方程组的求解方法是数值方法中仍然比较活跃的领域,各种成熟方法的改进和新数值解法不断涌现。本文主要介绍EPDA软件中大型线性代数方程组求解效率的提高研究。1.正定对称线性方程组PCG迭代求解法正定对称线性方程组的求解在有限元方法中应用广泛,可以说是有限元方法求解问题的必由之路。线性方程组的求解算法一般可以分
Implicit algorithm based on nonlinear analysis of building structures inevitably involves the problem of solving linear equations. The method of solving linear equations is still a field that is still active in numerical methods. The improvement of various mature methods and the emergence of new numerical solutions are emerging. This article introduces the EPDA software large linear algebra equations improve the efficiency of the study. 1. Positive definite symmetric linear equations PCG iterative solution method Positive definite symmetric linear equations are widely used in the finite element method can be said that finite element method is the only way to solve the problem. The linear equations solution algorithm can be divided