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# Improved approximations for two-stage min-cut and shortest path problems under uncertainty

@article{Golovin2015ImprovedAF, title={Improved approximations for two-stage min-cut and shortest path problems under uncertainty}, author={Daniel Golovin and Vineet Goyal and Valentin Polishchuk and R. Ravi and Mikko Sysikaski}, journal={Math. Program.}, year={2015}, volume={149}, pages={167-194} }

- Published 2015 in Math. Program.
DOI:10.1007/s10107-013-0742-0

In this paper, we study the robust and stochastic versions of the two-stage mincut and shortest path problems introduced in Dhamdhere et al. [6], and give approximation algorithms with improved approximation factors. Specifically, we give a 2-approximation for the robust min-cut problem and a 4-approximation for the stochastic version. For the two-stage shortest path problem, we give a 3.39-approximation for the robust version and 6.78-approximation for the stochastic version. Our results… CONTINUE READING