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STOC
2004
ACM
107views Algorithms» more  STOC 2004»
14 years 8 months ago
Primal-dual algorithms for deterministic inventory problems
We consider several classical models in deterministic inventory theory: the single-item lot-sizing problem, the joint replenishment problem, and the multi-stage assembly problem. ...
Retsef Levi, Robin Roundy, David B. Shmoys
EOR
2007
88views more  EOR 2007»
13 years 8 months ago
The stochastic location model with risk pooling
In this paper, we present a stochastic version of the Location Model with Risk Pooling (LMRP) that optimizes location, inventory, and allocation decisions under random parameters ...
Lawrence V. Snyder, Mark S. Daskin, Chung-Piaw Teo
SDM
2007
SIAM
137views Data Mining» more  SDM 2007»
13 years 9 months ago
Are approximation algorithms for consensus clustering worthwhile?
Consensus clustering has emerged as one of the principal clustering problems in the data mining community. In recent years the theoretical computer science community has generated...
Michael Bertolacci, Anthony Wirth
ATAL
2005
Springer
14 years 1 months ago
A decentralized bargaining protocol on dependent continuous multi-issue for approximate pareto optimal outcomes
Negotiation techniques have been demonstrated to be effective in solving complex multi-objective problems. When the optimization process operates on continuous variables, it can b...
Nicola Gatti, Francesco Amigoni
AAAI
2006
13 years 9 months ago
Representing Systems with Hidden State
We discuss the problem of finding a good state representation in stochastic systems with observations. We develop a duality theory that generalizes existing work in predictive sta...
Christopher Hundt, Prakash Panangaden, Joelle Pine...