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

Natural Language Processing
Columbia University via Coursera Intro to Algorithms
Udacity Conception et mise en œuvre d'algorithmes.
École Polytechnique via Coursera Paradigms of Computer Programming
Université catholique de Louvain via edX Data Structures and Algorithm Design Part I | 数据结构与算法设计(上)
Tsinghua University via edX