Conjugate gradient method is an efficient method in solving problems with unconstrained optimization, which is especially efficient in dealing large dimension.
共轭梯度法是求解大规模无约束优化问题的一种有效方法。
Conjugate gradient method were choosed to solve the large sparse matrix equations induced by the FEM and computer language FORTRAN was used to programme the numerical simulation system software.
选择共轭梯度法解决由有限元法形成的大型稀疏矩阵方程,应用FORTRAN语言编制了数值模拟系统软件。
Abstr: Conjugate gradient method has played a special role for solving large scale optimization problems due to the simplicity of its iteration, convergence property and its low memory requirement.