文章给出了Core逆在谱范数和Frobenius范数下的乘法扰动界,同时指出[GAO Y.,LI J.Perturbation bounds of core inverse under the Frobenius norm[J].Bulletin of the Malaysian Mathematical Sciences Society,2022,45(5):2361-2371]...文章给出了Core逆在谱范数和Frobenius范数下的乘法扰动界,同时指出[GAO Y.,LI J.Perturbation bounds of core inverse under the Frobenius norm[J].Bulletin of the Malaysian Mathematical Sciences Society,2022,45(5):2361-2371]中给出的Core逆在Frobenius范数下的乘法扰动界是错误的。展开更多
This paper presents two new theorems for multiplicative perturbations of C-regularized resolvent families, which generalize the previous related ones for the resolvent families.
In this paper, a stochastic model of plague is first studied by subspace identification. First, the discrete model of plague is obtained based on the classical model. The corresponding stochastic model is proposed for...In this paper, a stochastic model of plague is first studied by subspace identification. First, the discrete model of plague is obtained based on the classical model. The corresponding stochastic model is proposed for the existence of stochastic disturbances. Second, for the model, the parameter matrices and noise intensity are obtained. Finally, the simulations of the model show that the subspace identification is more precise than least square method.展开更多
文摘文章给出了Core逆在谱范数和Frobenius范数下的乘法扰动界,同时指出[GAO Y.,LI J.Perturbation bounds of core inverse under the Frobenius norm[J].Bulletin of the Malaysian Mathematical Sciences Society,2022,45(5):2361-2371]中给出的Core逆在Frobenius范数下的乘法扰动界是错误的。
文摘This paper presents two new theorems for multiplicative perturbations of C-regularized resolvent families, which generalize the previous related ones for the resolvent families.
基金Acknowledgments This work was supported by the National Natural Science Foundation of China （NSFC） under Grant 61374137 and the State Key Laboratory of Integrated Automation of Process Industry Technology and Research Center of National Metallurgical Automation Fundamental Research Funds （2013ZCX02-03）.
文摘In this paper, a stochastic model of plague is first studied by subspace identification. First, the discrete model of plague is obtained based on the classical model. The corresponding stochastic model is proposed for the existence of stochastic disturbances. Second, for the model, the parameter matrices and noise intensity are obtained. Finally, the simulations of the model show that the subspace identification is more precise than least square method.
