In this paper,the concept of gradient matrix(F(X)) is presented,and an algorithm is constructed to solve the symmetric solution of the minimum Frobenius norm residual problem:min‖(A1XB1,A2XB2)-(C1,C2)‖.
该文提出了梯度矩阵(F(X))的概念,构造了一种迭代法求最小二乘问题min‖(A1XB1,A2XB2)-(C1,C2)‖的对称解。
A simply method for calculating gradient projection matrix and lagrange multiplier is given.
给出了计算梯度投影阵和Ｌａｇｒａｎｇｅ乘子的简便方法。