Swarm-Based Gradient Descent Method for Non-Convex Optimization

Explore a 47-minute lecture by Professor Eitan Tadmor from the University of Maryland, USA, presented at the Institute for Mathematical Sciences. Delve into the innovative approach of swarm-based gradient descent methods for tackling non-convex optimization problems. Gain insights into how collective intelligence principles from swarm behavior can be applied to enhance traditional optimization techniques, potentially leading to more efficient solutions for complex mathematical challenges.

Swarm Based Gradient Descent Method for Non Convex Optimization