Abstract: Based on the far-field approximations, a deep learning-based method is proposed for millimeter-wave short-range imaging. By using convolutional neural networks, the distortions caused by the ...

Abstract: In this paper, we propose a successive pseudoconvex approximation algorithm to efficiently compute stationary points for a large class of possibly nonconvex optimization problems. The ...

First-order derivatives: n additional function calls are needed. Second-order derivatives based on gradient calls, when the "grd" module is specified (Dennis and Schnabel 1983): n additional gradient ...