LP, SOCP, and Optimization-Free Approaches to Polynomial Optimization
Offered By: Simons Institute via YouTube
Course Description
Overview
Explore advanced techniques in polynomial optimization through a comprehensive lecture covering LP, SOCP, and optimization-free approaches. Delve into hierarchies, extended formulations, and matrix-analytic techniques as presented by Amir Ali Ahmadi from Princeton University. Gain valuable insights into cutting-edge methodologies for solving complex optimization problems in this 32-minute talk from the Simons Institute.
Syllabus
LP, SOCP, and Optimization-Free Approaches to Polynomial Optimization
Taught by
Simons Institute
Related Courses
Linear and Discrete OptimizationÉcole Polytechnique Fédérale de Lausanne via Coursera Linear and Integer Programming
University of Colorado Boulder via Coursera Graph Partitioning and Expanders
Stanford University via NovoEd Discrete Inference and Learning in Artificial Vision
École Centrale Paris via Coursera Convex Optimization
Stanford University via edX