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Approximation in stochastic integer programming

Published in Data Archiving and Networked Services (DANS) • May 8, 2003
NobleIDNI8P663W385R228S975
Authors:
Leen Stougie
,
Maarten H. van der Vlerk

Abstract

Approximation algorithms are the prevalent solution methods in the field of stochastic programming. Problems in this field are very hard to solve. Indeed, most of the research in this field has concentrated on designing solution methods that approximate the optimal solutions. However, efficiency in ...

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