Special classes of matrices

The study of many pure and applied mathematics often reduce to the study of some special matrix sets. For example, many optimization problems reduce to the study of nonnegative matrix theory problems and there are many interesting unsolved problems even for zero-one matrices (e.g., see [BeK], [BR], [KiK], [LSOD], [NR]). Other pure mathematics subjects such as dynamical systems, matrix $K$-theory and classification of special types of $C*$-algebras, etc. also involve the study of nonnegative matrices (e.g., see [Bla], [Dix], [KK], [Ky], [LW], [Mur] and their references). Furthermore, there have been considerable interest in studying the convex sets of positive semi-definite matrices, correlation matrices, doubly nonnegative matrices, completely positive matrices, co-positive matrices, etc. (see [CV], [DJ], [DJLo], [GPW], [Lo], [LT]). In fact, the study of completely positive maps on matrix spaces in the context of $C^*$-algebras also reduces to the study of some subcones of the cone of positive semi-definite matrices (e.g., see [BPS], [C], [JKS], [JOSV], [KK], [K], [LaS], [LoS], [PH] and their references). Therefore, it is worthwhile to continue to develop more techniques to deal with these types of problems and applying the results to different areas.

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