Perturbation bounds for matrix eigenvalues
Perturbation bounds for matrix eigenvalues
Mathematical Programming: Series A and B
A new lower bound via projection for the quadratic assignment problem
Mathematics of Operations Research
Introduction to total least squares techniques and errors-in-variables modeling
Proceedings of the second international workshop on Recent advances in total least squares techniques and errors-in-variables modeling
The Geometry of Algorithms with Orthogonality Constraints
SIAM Journal on Matrix Analysis and Applications
On Lagrangian Relaxation of Quadratic Matrix Constraints
SIAM Journal on Matrix Analysis and Applications
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We characterize the optimal solution of a quadratic program over the Stiefel manifold with an objective function in trace formulation. The result is applied to relaxations of HQAP and MTLS. Finally, we show that strong duality holds for the Lagrangian dual, provided some redundant constraints are added to the primal program.