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)‖.
該文提出了梯度矩陣(F(X))的概念,構造了一種迭代法求最小二乘問題min‖(A1XB1,A2XB2)-(C1,C2)‖的對稱解。
A simply method for calculating gradient projection matrix and lagrange multiplier is given.
給出了計算梯度投影陣和Ｌａｇｒａｎｇｅ乘子的簡便方法。