The inverse eigenvalue problem appears in many applications such as control design, seismic tomography, exploration and remote sensing, molecular spectroscopy, particle physics, structural analysis, ...

We analyze two popular semidefinite programming relaxations for quadratically constrained quadratic programs with matrix variables. These relaxations are based on vector lifting and on matrix lifting; ...

Research in neuroscience has seen a recent trend toward the extension of receptive field (RF) estimation techniques and theoretical principles from linear to non-linear models. This development has ...