Mathematics of Operations Research
Computers and Intractability: A Guide to the Theory of NP-Completeness
Computers and Intractability: A Guide to the Theory of NP-Completeness
Operations Research
Adjustable robust solutions of uncertain linear programs
Mathematical Programming: Series A and B
Hardness of robust network design
Networks
Two-Stage Robust Network Flow and Design Under Demand Uncertainty
Operations Research
Communication: Robust network optimization under polyhedral demand uncertainty is NP-hard
Discrete Applied Mathematics
Robust solutions of uncertain linear programs
Operations Research Letters
Computers and Operations Research
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We investigate here the class--denoted R-LP-RHSU--of two-stage robust linear programming problems with right-hand-side uncertainty. Such problems arise in many applications e.g: robust PERT scheduling (with uncertain task durations); robust maximum flow (with uncertain arc capacities); robust network capacity expansion problems; robust inventory management; some robust production planning problems in the context of power production/distribution systems. It is shown that such problems can be formulated as large scale linear programs with associated nonconvex separation subproblem. A formal proof of strong NP-hardness for the general case is then provided, and polynomially solvable subclasses are exhibited. Differences with other previously described robust LP problems (featuring row-wise uncertainty instead of column wise uncertainty) are highlighted.