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    2006
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    A management system for decompositions in stochastic programming
    13 years 6 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 6 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 6 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 6 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 6 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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