稳定化双共轭梯度法用于求解稀疏线性方程组，可调节参数的修正迭代法用于求解非线性代数方程组。
Linear equations of sparse matrix are solved by Biconjugate Gradients Stabilized Method and nonlinear algebraic equations are solved by parameter-regulated iterative procedures.
在一般双共轭梯度法的基础上，本文利用广义变分原理对内积进行了重新定义，使双共轭梯度法求解复线性方程组更为有效。
Based on biconjugate gradient method, we redefine inner products using general variation principle, which can make complex linear equations solving have high-performance.
在一般双共轭梯度法的基础上，本文利用广义变分原理对内积进行了重新定义，使双共轭梯度法求解复线性方程组更为有效。
Based on biconjugate gradient method, we redefine inner products using general variation principle, which can make complex linear equations solving have high-performance.
应用推荐