Bazaraa MS, Sherali HD, Shetty CM. (1993). Nonlinear programming theory and algorithms (2nd ed).

Bouzerdoum A, Pattison TR. (1993). Neural network for quadratic optimization with bound constraints. IEEE transactions on neural networks. 4 [PubMed]

Feng G, Xia YS. (2004). On convergence rate of projection neural networks IEEE Trans Automatic Control. 49

Friesz TL, Bernstein DH, Mehta NJ, Tobin RL, Ganjlizadeh S. (1994). Day-to-day dynamic network disequilibria and idealized traveler information systems Operations Research. 42

Friesz TL, Bernstein DH, Smith TE, Suo ZG. (1997). A comparative analysis of two minimum-norm projective dynamics and their relationship to variational inequalities Complementarity and variational problems: State of art.

Fukushima M. (1992). Equivalent differentiable optimization problems and descent method for asymmetric variational inequality problems Mathematical Programming. 53

Gao XB. (2003). Exponential stability of globally projected dynamic systems. IEEE transactions on neural networks. 14 [PubMed]

Gao XB. (2004). A novel neural network for nonlinear convex programming. IEEE transactions on neural networks. 15 [PubMed]

Gao XB, Liao LZ. (2003). A neural network for monotone variational inequalities with linear constraints Physics Letters A. 307

Gao XB, Liao LZ, Xue W. (2004). A neural network for a class of convex quadratic minimax problems with constraints. IEEE transactions on neural networks. 15 [PubMed]

He B, Yang H. (2000). A neural network model for monotone linear asymmetric variational inequalities. IEEE transactions on neural networks. 11 [PubMed]

He BS. (1996). Solution and application of a class of general linear variational inequalities Series A. 39

He BS. (1999). Inexact implicit methods for monotone general variational inequalities Mathematical Programming. 86

Kinderlehrer D, Stampacchia G. (1980). An introduction to variational inequalities and their applications.

Liao LZ, Han QM, Qi HD, Qi LQ. (2001). Stability analysis of gradient-based neural networks for optimization problems J Global Optim. 19

Ortega TM, Rheinboldt WC. (1970). Iterative solution of nonlinear equation in several variables.

Rockafellar RT. (1987). Linear-quadratic programming and optimal control SIAM J Control Optim. 25

Solodov MV, Tseng P. (1996). Modified projection-type methods for monotone variational inequalities SIAM J Control Optim. 27

Tseng P. (2000). A modified forward-backward splitting method for maximal monotone mappings SIAM J Control Optim. 38

Wang J, Xia YS. (2000). On the stability of globally projected dynamical systems J Optim Theory Appl. 106

Wang J, Xia YS. (2001). Global asymptotic and exponential stability of a dynamic neural system with asymmetric connection weights IEEE Trans Automatic Control. 46

Xia Y. (2004). An Extended Projection Neural Network for Constrained Optimization Neural Comput. 16

Xia Y, Feng G, Wang J. (2004). A recurrent neural network with exponential convergence for solving convex quadratic program and related linear piecewise equations. Neural networks : the official journal of the International Neural Network Society. 17 [PubMed]

Xia Y, Wang J. (1998). A general methodology for designing globally convergent optimization neural networks. IEEE transactions on neural networks. 9 [PubMed]