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» Approximation Algorithms for Min-Max Generalization Problems
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ALGORITHMICA
2011
13 years 3 months ago
An Approximation Algorithm for Binary Searching in Trees
We consider the problem of computing efficient strategies for searching in trees. As a generalization of the classical binary search for ordered lists, suppose one wishes to find...
Eduardo Sany Laber, Marco Molinaro
WSC
2004
13 years 10 months ago
Retrospective Approximation Algorithms for the Multidimensional Stochastic Root-Finding Problem
The stochastic root-finding problem (SRFP) is that of solving a system of q equations in q unknowns using only an oracle that provides estimates of the function values. This paper...
Raghu Pasupathy, Bruce W. Schmeiser
EOR
2006
103views more  EOR 2006»
13 years 8 months ago
Exact solutions to a class of stochastic generalized assignment problems
This paper deals with a stochastic Generalized Assignment Problem with recourse. Only a random subset of the given set of jobs will require to be actually processed. An assignment...
Maria Albareda-Sambola, Maarten H. van der Vlerk, ...
ENTCS
2008
97views more  ENTCS 2008»
13 years 8 months ago
An Algorithm for Approximating the Satisfiability Problem of High-level Conditions
The satisfiability problem is the fundamental problem in proving the conflict-freeness of specifications, or in finding a counterexample for an invalid statement. In this paper, w...
Karl-Heinz Pennemann
FSTTCS
2006
Springer
14 years 8 days ago
Approximation Algorithms for 2-Stage Stochastic Optimization Problems
Abstract. Stochastic optimization is a leading approach to model optimization problems in which there is uncertainty in the input data, whether from measurement noise or an inabili...
Chaitanya Swamy, David B. Shmoys