Answers are grounded in this paper and cite their sources.
This note extends a vector duality approach to optimize matrix functions under set-semidefinite constraints, suggesting broader applications.
In this note we extend a vector duality approach for set-semidefinite multiobjective optimization problems consisting in the vector minimization with respect to a given convex cone of matrices of a matrix-valued function subject to both geometric and set-semidefinite cone-inequality constraints. Our contribution generalizes and improves earlier results from the literature.
No takes yet. Share an insight, caveat, or question.
Höpfner et al. (2026) studied this question.
Synapse has enriched 8 closely related papers on similar clinical questions. Consider them for comparative context: