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    2006
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    A management system for decompositions in stochastic programming
    13 years 11 months ago
    A management system for decompositions in stochastic programming
    Download  www.sie.arizona.edu
    This paper presents two contributions: A set of routines that manipulate instances of stochastic programming problems in order to make them more amenable for different solution ap...
    Robert Fourer, Leo Lopes
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    ANOR
    2006
    81views more  ANOR 2006»
    The Vehicle Routing Problem with Demand Range
    13 years 11 months ago
    The Vehicle Routing Problem with Demand Range
    Download  myweb.uiowa.edu
    We propose and formulate the vehicle routing problem with demand range (VRPDR), a new variation on the traditional vehicle routing problem. In the VRPDR, the delivery quantity for ...
    Ann Melissa Campbell
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    ANOR
    2006
    59views more  ANOR 2006»
    The empirical behavior of sampling methods for stochastic programming
    13 years 11 months ago
    The empirical behavior of sampling methods for stochastic programming
    Download  pages.cs.wisc.edu
    Abstract. We investigate the quality of solutions obtained from sample-average approximations to two-stage stochastic linear programs with recourse. We use a recently developed sof...
    Jeff Linderoth, Alexander Shapiro, Stephen Wright
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    ANOR
    2006
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    Comparison of wavelength requirements between two wavelength assignment methods in survivable WDM networks
    13 years 11 months ago
    Comparison of wavelength requirements between two wavelength assignment methods in survivable WDM networks
    Download  solab.kaist.ac.kr
    We consider the routing and wavelength assignment (RWA) in survivable WDM network. A path protection scheme assumed and two different wavelength assignment methods for protection p...
    Taehan Lee, Sungsoo Park
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    ANOR
    2006
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    A splitting method for stochastic programs
    13 years 11 months ago
    A splitting method for stochastic programs
    Download  math.tkk.fi
    This paper derives a new splitting-based decomposition algorithm for convex stochastic programs. It combines certain attractive features of the progressive hedging algorithm of Roc...
    Teemu Pennanen, Markku Kallio
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