Introduction to Approximation Algorithms For Stochastic Minimum Norm Combinatorial Optimization

Exploring Approximation Algorithms For Stochastic Minimum Norm Combinatorial Optimization reveals several interesting facts. Sharat Ibrahimpur (Waterloo); Chaitanya Swamy (Waterloo)

Approximation Algorithms For Stochastic Minimum Norm Combinatorial Optimization Comprehensive Overview

Abstract: In this work, we introduce and study Kamesh Munagala, Duke University https://simons.berkeley.edu/talks/kamesh-munagala-08-22-2016-1 The first of four lectures by Anupam Gupta (Carnegie Mellon) of a mini-course given in the (on-line) Discrete Mathematics Summer ...

In this talk we will present

Summary & Highlights for Approximation Algorithms For Stochastic Minimum Norm Combinatorial Optimization

  • The second of four lectures by Anupam Gupta (Carnegie Mellon) of a mini-course given in the (on-line) Discrete Mathematics ...
  • The third of four lectures by Anupam Gupta (Carnegie Mellon) of a mini-course given in the (on-line) Discrete Mathematics ...
  • Kamesh Munagala, Duke University https://simons.berkeley.edu/talks/kamesh-munagala-08-22-2016-2
  • R. Ravi, Carnegie Mellon University https://simons.berkeley.edu/talks/r-ravi-09-19-2016
  • We will survey recent work in the design of

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