Abstract In this paper, we first study the solution to linear matrix inequality AXB + (AXB)* ⩾ (>, ⩽, <) C when the matrix G = (A B*) is full row rank, where C is a Hermitian matrix. Furthermore, for ...
The inequality will be solved when \({m}\) is isolated on one side of the inequality. This can be done by using inverse operations on each stage of the sum. The final answer is ...
This is a preview. Log in through your library . Abstract It is proved that the metric projection from a point onto a moving polyhedron is Lipschitz continuous with respect to the perturbations on the ...
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