We show that the stochastic versions of some classical problems in
combinatorial optimization may be imbedded in multiparameter subadditive
processes having an intrinsic ergodic structure. A multiparameter
generalization of Kingman's subadditive ergodic theorem is used to capture
strong laws for these optimization problems, including the traveling salesman
and minimal spanning tree processes. In this way we make progress on some open
problems and provide alternate proofs of some well known asymptotic
results.
@article{1034968238,
author = {Yukich, J. E.},
title = {Ergodic theorems for some classical problems in combinatorial
optimization},
journal = {Ann. Appl. Probab.},
volume = {6},
number = {1},
year = {1996},
pages = { 1006-1023},
language = {en},
url = {http://dml.mathdoc.fr/item/1034968238}
}
Yukich, J. E. Ergodic theorems for some classical problems in combinatorial
optimization. Ann. Appl. Probab., Tome 6 (1996) no. 1, pp. 1006-1023. http://gdmltest.u-ga.fr/item/1034968238/