## New Discrete-Time Recurrent Neural Network Proposal for Quadratic Optimization With General Linear Constraints

- MarÃa JosÃ© PÃ©rez-Ilzarbe
- IEEE Transactions on Neural Networks and Learningâ€¦
- 2013

Highly Influenced

@article{Hu2007DesignOG, title={Design of General Projection Neural Networks for Solving Monotone Linear Variational Inequalities and Linear and Quadratic Optimization Problems}, author={Xiaolin Hu and Jun Wang}, journal={IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics)}, year={2007}, volume={37}, pages={1414-1421} }

- Published 2007 in IEEE Transactions on Systems, Man, andâ€¦
DOI:10.1109/TSMCB.2007.903706

Most existing neural networks for solving linear variational inequalities (LVIs) with the mapping Mx + p require positive definiteness (or positive semidefiniteness) of M. In this correspondence, it is revealed that this condition is sufficient but not necessary for an LVI being strictly monotone (or monotone) on its constrained set where equalityâ€¦Â CONTINUE READING

### Presentations referencing similar topics