The field of stochastic optimization studies decision making under uncertainty, when only probabilistic information about the future is available. Finding approximate solutions to...
The Maximal Covering Location Problem (MCLP) maximizes the population that has a facility within a maximum travel distance or time. Numerous extensions have been proposed to enhan...
At Iowa State University, the Office of Academic Information Technologies, the English Department, and the Department of Residence have developed a strategic alliance to plan and ...
For several NP-hard network design problems, the best known approximation algorithms are remarkably simple randomized algorithms called Sample-Augment algorithms in [11]. The algor...
We describe an experimental wearable augmented reality system that enables users to experience hypermedia presentations that are integrated with the actual outdoor locations to wh...