## Continuous Steepest Descent Paths for Non-Convex Optimization

- Salah Beddiaf
- 2016

This paper revisits the ideas of seeking unconstrained minima by following a continuous steepest descent path (CSDP). We are especially interested in the merits of such an approach in regions where the objective function is non-convex and Newton-like methods become ineffective. The paper combines ODE-trajectory following with trust-region ideas to give an… (More)