Approximation Algorithms for Stochastic and Risk-Averse Optimization-Reference-Cited by-同舟云学术

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Approximation Algorithms for Stochastic and Risk-Averse Optimization

Published:2018-01 Issue:1 Volume:32 Page:44-63
ISSN:0895-4801
Container-title:SIAM Journal on Discrete Mathematics
language:en
Short-container-title:SIAM J. Discrete Math.

Author:

Byrka Jaroslaw,Srinivasan Aravind

Funder

Polish National Science Centre

Adobe Systems

H2020 Future and Emerging Technologies

Fundacja na rzecz Nauki Polskiej

Ministerstwo Nauki i Szkolnictwa Wyższego

National Science Foundation

Publisher

Society for Industrial & Applied Mathematics (SIAM)

Subject

General Mathematics

Link

https://epubs.siam.org/doi/pdf/10.1137/15M1043790

Reference25 articles.

1. An Optimal Bifactor Approximation Algorithm for the Metric Uncapacitated Facility Location Problem

2. Improved Approximation Algorithms for the Uncapacitated Facility Location Problem

3. Linear Programming under Uncertainty

4. Approximating the Stochastic Knapsack Problem: The Benefit of Adaptivity

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. An Improved Approximation Algorithm for Two-Stage Stochastic Fault-Tolerant Facility Location Problem;2023

2. Submodular reassignment problem for reallocating agents to tasks with synergy effects;Discrete Optimization;2021-02

3. Approximation algorithm for squared metric two-stage stochastic facility location problem;Journal of Combinatorial Optimization;2019-03-19

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