The low-rank matrix approximation problem involves finding of a rank k version of a m ? n matrix AAA, labeled AAAk, such that AAAk is as "close" as possible to the best ...
An algorithm for the construction of an explicit piecewise linear state feedback approximation to nonlinear constrained receding horizon control is given. It allows such controlle...
This research concerns a noncooperative dynamic game with large number of oscillators. The states are interpreted as the phase angles for a collection of non-homogeneous oscillator...
Huibing Yin, Prashant G. Mehta, Sean P. Meyn, Uday...
— A low complexity soft-input soft-output (SISO) block decision feedback equalization (BDFE) algorithm is presented for Turbo equalization. Based on minimum mean square error (MM...
We initiate a systematic study of the Row Deletion(B) problem on matrices: Given an input matrix A and a fixed "forbidden submatrix" B, the task is to remove a minimum n...
Sebastian Wernicke, Jochen Alber, Jens Gramm, Jion...