Sciweavers

451 search results - page 29 / 91
» Approximation algorithms for stochastic orienteering
Sort
View
INFORMATICALT
2010
103views more  INFORMATICALT 2010»
14 years 7 months ago
Multistage K-Means Clustering for Scenario Tree Construction
Abstract. In stochastic programming and decision analysis, an important issue consists in the approximate representation of the multidimensional stochastic underlying process in th...
Kristina Sutiene, Dalius Makackas, Henrikas Pranev...
FOCS
2004
IEEE
15 years 4 months ago
Stochastic Optimization is (Almost) as easy as Deterministic Optimization
Stochastic optimization problems attempt to model uncertainty in the data by assuming that (part of) the input is specified in terms of a probability distribution. We consider the...
David B. Shmoys, Chaitanya Swamy
137
Voted
ICPADS
1994
IEEE
15 years 4 months ago
Stochastic Modeling of Scaled Parallel Programs
Testingthe performance scalabilityof parallelprograms can be a time consuming task, involving many performance runs for different computer configurations, processor numbers, and p...
Allen D. Malony, Vassilis Mertsiotakis, Andreas Qu...
120
Voted
CORR
2008
Springer
96views Education» more  CORR 2008»
15 years 17 days ago
Improved Approximations for Multiprocessor Scheduling Under Uncertainty
This paper presents improved approximation algorithms for the problem of multiprocessor scheduling under uncertainty (SUU), in which the execution of each job may fail probabilist...
Christopher Y. Crutchfield, Zoran Dzunic, Jeremy T...
102
Voted
CPAIOR
2006
Springer
15 years 4 months ago
Online Stochastic Reservation Systems
This paper considers online stochastic reservation problems, where requests come online and must be dynamically allocated to limited resources in order to maximize profit. Multi-k...
Pascal Van Hentenryck, Russell Bent, Yannis Vergad...