YoVDO

Approximation Algorithms for Stochastic Minimum Norm Combinatorial Optimization

Offered By: IEEE via YouTube

Tags

Approximation Algorithms Courses Algorithm Design Courses Mathematical Modeling Courses Combinatorial Optimization Courses Uncertainty Analysis Courses Stochastic Optimization Courses

Course Description

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Explore a 22-minute IEEE conference talk on approximation algorithms for stochastic minimum norm combinatorial optimization, presented by Sharat Ibrahimpur and Chaitanya Swamy from Waterloo. Delve into advanced mathematical concepts and algorithmic approaches for solving complex optimization problems in uncertain environments.

Syllabus

Approximation Algorithms for Stochastic Minimum Norm Combinatorial Optimization


Taught by

IEEE FOCS: Foundations of Computer Science

Tags

Related Courses

Debt Sustainability Analysis
International Monetary Fund via edX Supply Chain Analytics
Indian Institute of Technology Roorkee via Swayam Mechanical Measurement Systems
Indian Institute of Technology Roorkee via Swayam Reliability and Decision Making in Engineering Design
Purdue University via edX Introduction To Uncertainty Analysis And Experimentation
Indian Institute of Technology Delhi via Swayam