一般化共役勾配法(GCG法)の有限要素法への適用に関する研究 : その2 平面・立体骨組の線形モデル数値実験

概要

論文の詳細を見る
The GCG method (the generalized conjugate gradient method)proposed in the previous paper is able to solve the usual simultaneous equations with symmetric matrices, and to check the singularity of matrices, and needs less memories than the methods for the solution of linear equations with banded or skylined matrices and has a shorter computational time because of rapid convergence. In this paper, convergency rate, computational time and used memories of the GCG method by numerical simulations for linear model of plane and space frames are given. The results of numerical simulations show that the GCG method is practical alternative to direct methods in the solution of large sparse systems of equations.
社団法人日本建築学会の論文
1995-08-30