TY - JOUR
T1 - Parametric error bounds for convex approximations of two-stage mixed-integer recourse models with a random second-stage cost vector
AU - van Beesten, E. Ruben
AU - Romeijnders, Ward
N1 - Publisher Copyright:
© 2022 The Author(s)
PY - 2022/9
Y1 - 2022/9
N2 - We consider two-stage recourse models with integer restrictions in the second stage. These models are typically non-convex and hence, hard to solve. There exist convex approximations of these models with accompanying error bounds. However, it is unclear how these error bounds depend on the distributions of the second-stage cost vector q. In this paper, we derive parametric error bounds whose dependence on the distribution of q is explicit: they scale linearly in the expected value of the ℓ
1-norm of q.
AB - We consider two-stage recourse models with integer restrictions in the second stage. These models are typically non-convex and hence, hard to solve. There exist convex approximations of these models with accompanying error bounds. However, it is unclear how these error bounds depend on the distributions of the second-stage cost vector q. In this paper, we derive parametric error bounds whose dependence on the distribution of q is explicit: they scale linearly in the expected value of the ℓ
1-norm of q.
UR - http://www.scopus.com/inward/record.url?scp=85137153277&partnerID=8YFLogxK
U2 - 10.1016/j.orl.2022.07.012
DO - 10.1016/j.orl.2022.07.012
M3 - Article
SN - 0167-6377
VL - 50
SP - 541
EP - 547
JO - Operations Research Letters
JF - Operations Research Letters
IS - 5
ER -