This paper revisits the parametric analysis of semidefinite optimization problems with respect to the perturbation of the objective function along a fixed direction. We review the notions of invari…
By using the viewpoint of modern computational algebraic geometry, we explore properties of the optimization landscapes of deep linear neural network models. After providing clarification on the va…
In this paper, we establish a modified equivalent circuit model suitable for all bias conditions for high-speed InGaAs/InAlAs avalanche photodiodes (APDs). The model includes three mechanisms: the …