We focus on a dual-functional multi-input-multi-output (MIMO) radar-communication
(RadCom) system, where a single transmitter with multiple antennas communicates with …

This paper develops and analyzes a generalization of the Broyden class of quasi-Newton
methods to the problem of minimizing a smooth objective function f on a Riemannian …

Nonlinear optimization problems with dynamical parameters are widely arising in many
practical scientific and engineering applications, and various computational models are …

In this brief, a discrete-time Zhang neural network (DTZNN) model is first proposed,
developed, and investigated for online time-varying nonlinear optimization (OTVNO). Then …

In this letter, we propose a novel manifold-based algorithm to solve the constant envelope
(CE) precoding problem with interference exploitation. For a given power budget, we design …

The dual-functional radar communication (DFRC) has been regarded as one of the most
attractive solutions for facilitating vehicle applications in internet of vehicles (IoV) by utilizing …

The well-known symmetric rank-one trust-region method—where the Hessian approximation
is generated by the symmetric rank-one update—is generalized to the problem of minimizing …

This dissertation generalizes three well-known unconstrained optimization approaches for R
n to solve optimization problems with constraints that can be viewed as a d-dimensional …

In this paper, we investigate the omnidirectional precoding for three dimensional (3D)
massive multi-input multi-output (MIMO) with uniform planar arrays (UPAs). The …

Low rank matrix recovery is a fundamental task in many real-world applications. The
performance of existing methods, however, deteriorates significantly when applied to ill …