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math.OC2025

Optimal Diagonal Preconditioning Beyond Worst-Case Conditioning: Theory and Practice of Omega Scaling

Saeed Ghadimi, Woosuk L. Jung, Arnesh Sujanani +2

We study optimal diagonal preconditioning using the classical worst-case -condition number and the averaging-based -condition number. For the -optimal preconditioning prob…

math.OC2024

On the local and global minimizers of the smooth stress function in Euclidean Distance Matrix problems

Mengmeng Song, Douglas Goncalves, Woosuk L. Jung +3

We consider the nonconvex minimization problem, with quartic objective function, that arises in the exact recovery of a configuration matrix of points when a Euc…

math.OC2024

Projection, Degeneracy, and Singularity Degree for Spectrahedra

Haesol Im, Woosuk L. Jung, David Torregrosa-Belén +1

Facial reduction, FR, is a regularization technique for convex programs where the strict feasibility constraint qualification, CQ, fails.Though this CQ holds generically, failure i…

math.OC2024

Single Element Error Correction/ in a Euclidean Distance Matrix

Abdo Alfakih, Woosuk L. Jung, Henry Wolkowicz +1

We consider the \emph{exact} error correction of a noisy Euclidean distance matrix, EDM, where the elements are the squared distances between points in . For our problem w…

math.OC2023

Exact Solutions for the NP-hard Wasserstein Barycenter Problem using a Doubly Nonnegative Relaxation and a Splitting Method

Woosuk L. Jung, Henry Wolkowicz

The so-called \emph{simplified} Wasserstein barycenter problem, also known as the cheapest hub problem, consists in selecting one point from each of given sets, each set consis…