Locations of Medians on Stochastic Networks

The definition of network medians is extended to the case where travel times on network links are random variables with known discrete probability distributions. Under a particular set of assumptions, it is shown that the well-known theorems of HAKIMI and of LEVY can be extended to such stochastic n...

Full description

Bibliographic Details
Main Authors: Mirchandani, Pitu B., Odoni, Amedeo R.
Format: Working Paper
Language:en_US
Published: Massachusetts Institute of Technology, Operations Research Center 2004
Online Access:http://hdl.handle.net/1721.1/5148
_version_ 1826216764889890816
author Mirchandani, Pitu B.
Odoni, Amedeo R.
author_facet Mirchandani, Pitu B.
Odoni, Amedeo R.
author_sort Mirchandani, Pitu B.
collection MIT
description The definition of network medians is extended to the case where travel times on network links are random variables with known discrete probability distributions. Under a particular set of assumptions, it is shown that the well-known theorems of HAKIMI and of LEVY can be extended to such stochastic networks. The concepts are further extended to the case of stochastic oriented networks. A particular set of applications as well as formulations of the problem for solution using mathematical programming techniques are also discussed briefly.
first_indexed 2024-09-23T16:53:04Z
format Working Paper
id mit-1721.1/5148
institution Massachusetts Institute of Technology
language en_US
last_indexed 2024-09-23T16:53:04Z
publishDate 2004
publisher Massachusetts Institute of Technology, Operations Research Center
record_format dspace
spelling mit-1721.1/51482019-04-12T08:06:48Z Locations of Medians on Stochastic Networks Mirchandani, Pitu B. Odoni, Amedeo R. The definition of network medians is extended to the case where travel times on network links are random variables with known discrete probability distributions. Under a particular set of assumptions, it is shown that the well-known theorems of HAKIMI and of LEVY can be extended to such stochastic networks. The concepts are further extended to the case of stochastic oriented networks. A particular set of applications as well as formulations of the problem for solution using mathematical programming techniques are also discussed briefly. 2004-05-28T19:25:18Z 2004-05-28T19:25:18Z 1977-10 Working Paper http://hdl.handle.net/1721.1/5148 en_US Operations Research Center Working Paper;OR 065-77 1746 bytes 1156883 bytes application/pdf application/pdf Massachusetts Institute of Technology, Operations Research Center
spellingShingle Mirchandani, Pitu B.
Odoni, Amedeo R.
Locations of Medians on Stochastic Networks
title Locations of Medians on Stochastic Networks
title_full Locations of Medians on Stochastic Networks
title_fullStr Locations of Medians on Stochastic Networks
title_full_unstemmed Locations of Medians on Stochastic Networks
title_short Locations of Medians on Stochastic Networks
title_sort locations of medians on stochastic networks
url http://hdl.handle.net/1721.1/5148
work_keys_str_mv AT mirchandanipitub locationsofmediansonstochasticnetworks
AT odoniamedeor locationsofmediansonstochasticnetworks