This dissertation successfully uses cluster computing for solving large - scale linear algebraic equations problems when the finite element method ( fem ) is applied in electrical prospecting 本文成功的将机群计算应用到解决在电法勘探中使用有限元方法( fem )时产生的大规模线性方程组问题。
This dissertation successfully used cluster computing for solving large - scale linear algebraic equations problems when the finite element method ( fem ) is applied in electrical prospecting 本文成功地将机群计算应用到解决在电法勘探中使用有限元方法( fem )时产生的大规模线性方程组问题。
In the networks and controlling fields of engineering , many problems can be described as solving a system of linear algebraic equations ax - f , whose matrix of coefficients is large tridiagonal blocked matrix . the usual method of solving this kind of equations is the iterative method 在工程领域,如网络、控制等方面,许多实际问题都可归结为解一个系数矩阵a为大型分块三对角矩阵的线性方程组ax = f这类方程组通常使用迭代方法求解。
A combined gauss main - element elimination method with compress - storage technique is proposed , which with the characteristic of less - storage requirement , small rounding off and high stability , and solved the problem of large storage requirements in solving large linear algebraic equations in river networks hydraulics , 3 提出了压缩存贮形式的gauss列主元消去法,该方法具有存贮量小、舍入误差小、数值计算稳定的特点,在一定程度上解决了河网水力计算问题中关于众多线性方程组的存贮及其求解过程中可能面临的困难。