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Approximation Algorithms for Stochastic Optimization I
Approximation Algorithms for Stochastic Minimum Norm Combinatorial Optimization
Approximation Algorithms for Discrete Stochastic Optimization Problems
Approximation Algorithms for Optimization under Uncertainty
Introduction to approximation algorithms
Combinatorial Optimization Part 1 (PDG)
Approximation Algorithms for Stochastic Optimization II
Approximation Algorithms for Stochastic Knapsack - David Aleman
Mini Courses - SVAN 2016 - MC5 - Class 01 - Stochastic Optimal Control
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Last Updated: September 27, 2026
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Summary
Kamesh Munagala, Duke University simons.berkeley.edu/talks/kamesh-munagala-08-22-2016- Sharat Ibrahimpur (Waterloo); Chaitanya Swamy (Waterloo) We will survey recent work in the design of Instructor : Sharat Ibrahimpur Affiliation : ETH Zurich Abstract : Uncertainty is ubiquitous in real-world problems, highlighting a ... Abstract: The classical Knapsack problem takes as input a set of items with some fixed nonnegative values and weights. The goal ... Abstract: In this work, we introduce and study
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