An augmented neural network algorithm for solving singular convex optimization with nonnegative variables

@article{Ge2013AnAN,
  title={An augmented neural network algorithm for solving singular convex optimization with nonnegative variables},
  author={Rendong Ge and Lijun Liu},
  journal={2013 9th Asian Control Conference (ASCC)},
  year={2013},
  pages={1-6}
}
Singular nonlinear convex optimization problems have been received much attention in recent years. Most existing approaches are in the nature of iteration, which is time-consuming and ineffective. Different approaches to deal with such problems are promising. In this paper, a novel neural network model for solving singular nonlinear convex optimization… CONTINUE READING