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Swarm-Based Gradient Descent Method for Non-Convex Optimization

Offered By: Institute for Mathematical Sciences via YouTube

Tags

Optimization Algorithms Courses Machine Learning Courses Gradient Descent Courses Numerical Analysis Courses Particle Swarm Optimization Courses Swarm Intelligence Courses

Course Description

Overview

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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

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