10:00 AM-12:00 PM
Room: Ballroom 1
Positive semidefinite and Hermitian (or symmetric) matrices have been intensively studied because of their attractive properties and their many applications, e.g., optimization, statistics, and discrete schemes for the solution of differential equations. This minisymposium will explore the developing area of semidefinite programming, extensions and refinements of themes in the subject of Hermitian matrices such as eigenvalues of principal submatrices and diagonalization by congruence, and a cone of inequalities associated with the positive semidefinite matrices.
Organizer: Wayne W. Barrett
Brigham Young University
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