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Caiqin Song 제어로봇시스템학회 2018 제어로봇시스템학회 국제학술대회 논문집 Vol.2018 No.10
The least squares problems have wide applications in inverse problems of vibration theory, control theory, digital image and signal processing. In this paper, the conjugate gradient least squares(CGLS) method is extended to solve the least squares Frobenius norm solution of matrix equation with conjugate and transpose unknown. For any initial values, the least squares Frobenius norm solution can be gotten by this new algorithm. Moreover, the numerical example proved that the provided algorithm is much more feasible than the existed LSQR iterative algorithm.