Generalization of the Theorems of Alternatives in Semidefinite Programming
This paper deals with the generalization of the theorems of alternatives in semidefinite programming proposed by Balakrishnan and Vandenberghe.In their original form,the theorems assume that the domain of the linear mapping be a ?nite-dimensional Hilbert space.We show that the validity of the basic theorems does not rely on the finite-dimensional assumption,and the derived theorems can also be appropriately generalized.The Moore-Penrose inverse plays a crucial role in the generalization.
Semidefinite programming Linear matrix in- equalities Theorems of alternatives Moore-Penrose inverse
Yiping Cheng
School of Electronic and Information Engineering Beijing Jiaotong University, Beijing 100044, China
国际会议
2007 IEEE International Conference on Automation and Lofistics
山东济南
英文
2007-08-18(万方平台首次上网日期,不代表论文的发表时间)