@article {26180,
	title = {Continuous-Time Varying Complex QR Decomposition via Zeroing Neural Dynamics},
	journal = {Neural Processing Letters},
	year = {2021},
	month = {2021},
	abstract = {QR decomposition (QRD) is of fundamental importance for matrix factorization in both real and complex cases. In this paper, by using zeroing neural dynamics method, a continuous-time model is proposed for solving the time-varying problem of QRD in real-time. The proposed dynamics use time derivative information from a known real or complex matrix. Furthermore, its theoretical analysis is provided to substantiate the convergence and effectiveness of solving the time-varying QRD problem. In addition, numerical experiments in four different-dimensional time-varying matrices show that the proposed model is effective for solving the time-varying QRD problem both in the case of a real or a complex matrix as input.},
	isbn = {1573-773X},
	url = {https://doi.org/10.1007/s11063-021-10566-y},
	author = {Vasilios N. Katsikis and Spyridon D. Mourtas and Predrag S. Stanimirovi{\'c} and Zhang, Yunong}
}
