Swarm-Based Gradient Descent Method for Non-Convex Optimization
Institute for Mathematical Sciences via YouTube
PowerBI Data Analyst - Create visualizations and dashboards from scratch
Launch a New Career with Certificates from Google, IBM & Microsoft
Overview
Google, IBM & Meta Certificates — All 10,000+ Courses at 40% Off
One annual plan covers every course and certificate on Coursera. 40% off for a limited time.
Get Full Access
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.
Syllabus
Swarm Based Gradient Descent Method for Non Convex Optimization
Taught by
Institute for Mathematical Sciences