The inverse maximum flow problem considering l∞ norm
RAIRO - Operations Research (2008)
- Volume: 42, Issue: 3, page 401-414
- ISSN: 0399-0559
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topDeaconu, Adrian. "The inverse maximum flow problem considering l∞ norm." RAIRO - Operations Research 42.3 (2008): 401-414. <http://eudml.org/doc/250416>.
@article{Deaconu2008,
abstract = {
The problem is to modify the capacities of the arcs from a network so that a given feasible flow becomes a maximum flow and the maximum change of the capacities on arcs is minimum. A very fast O(m⋅log(n)) time complexity algorithm for solving this problem is presented, where m is the number of arcs and n is the number of nodes of the network. The case when both, lower and upper bounds of the flow can be modified so that the given feasible flow becomes a maximum flow is also discussed. The algorithm proposed can be adapted to solve this problem, too. The inverse minimum flow problem considering l∞ norm is also studied.
},
author = {Deaconu, Adrian},
journal = {RAIRO - Operations Research},
keywords = {Inverse combinatorial optimization; maximum flow; strongly polynomial time complexity.; inverse combinatorial optimization; strongly polynomial time complexity},
language = {eng},
month = {8},
number = {3},
pages = {401-414},
publisher = {EDP Sciences},
title = {The inverse maximum flow problem considering l∞ norm},
url = {http://eudml.org/doc/250416},
volume = {42},
year = {2008},
}
TY - JOUR
AU - Deaconu, Adrian
TI - The inverse maximum flow problem considering l∞ norm
JO - RAIRO - Operations Research
DA - 2008/8//
PB - EDP Sciences
VL - 42
IS - 3
SP - 401
EP - 414
AB -
The problem is to modify the capacities of the arcs from a network so that a given feasible flow becomes a maximum flow and the maximum change of the capacities on arcs is minimum. A very fast O(m⋅log(n)) time complexity algorithm for solving this problem is presented, where m is the number of arcs and n is the number of nodes of the network. The case when both, lower and upper bounds of the flow can be modified so that the given feasible flow becomes a maximum flow is also discussed. The algorithm proposed can be adapted to solve this problem, too. The inverse minimum flow problem considering l∞ norm is also studied.
LA - eng
KW - Inverse combinatorial optimization; maximum flow; strongly polynomial time complexity.; inverse combinatorial optimization; strongly polynomial time complexity
UR - http://eudml.org/doc/250416
ER -
References
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