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    CCE
    2004
    108views Software Engineering» more  CCE 2004»
    Improving convergence of the stochastic decomposition algorithm by using an efficient sampling technique
    13 years 7 months ago
    Improving convergence of the stochastic decomposition algorithm by using an efficient sampling technique
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    This work focuses on the basic stochastic decomposition (SD) algorithm of Higle and Sen [J.L. Higle, S. Sen, Stochastic Decomposition, Kluwer Academic Publishers, 1996] for two-st...
    José María Ponce-Ortega, Vicente Ric...
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    INFORMATICALT
    2000
    159views more  INFORMATICALT 2000»
    The Calculation of Electrotonic Potential Half-Time and its Derivative in Respect to Distance in One- and Two-Dimensional RC Med
    13 years 7 months ago
    The Calculation of Electrotonic Potential Half-Time and its Derivative in Respect to Distance in One- and Two-Dimensional RC Med
    Download  www.mii.lt
    In this work the analytical expressions of half-time T1/2 and its derivatives in respect to distance T1/2/R in a one-dimensional RC medium (a current electrode has a shape of the s...
    Romualdas Veteikis
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    SIAMAM
    2000
    128views more  SIAMAM 2000»
    Advection-Diffusion Equations for Internal State-Mediated Random Walks
    13 years 7 months ago
    Advection-Diffusion Equations for Internal State-Mediated Random Walks
    Download  faculty.washington.edu
    Abstract. In many biological examples of biased random walks, movement statistics are determined by state dynamics that are internal to the organism or cell and that mediate respon...
    Daniel Grünbaum
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    TSE
    2002
    105views more  TSE 2002»
    Disaggregating and Calibrating the CASE Tool Variable in COCOMO II
    13 years 7 months ago
    Disaggregating and Calibrating the CASE Tool Variable in COCOMO II
    Download  sunset.usc.edu
    CASE (Computer Aided Software Engineering) tools are believed to have played a critical role in improving software productivity and quality by assisting tasks in software developme...
    Jongmoon Baik, Barry W. Boehm, Bert Steece
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    MA
    2010
    Springer
    172views Communications» more  MA 2010»
    On Monte Carlo methods for Bayesian multivariate regression models with heavy-tailed errors
    13 years 5 months ago
    On Monte Carlo methods for Bayesian multivariate regression models with heavy-tailed errors
    Download  www.stat.ufl.edu
    We consider Bayesian analysis of data from multivariate linear regression models whose errors have a distribution that is a scale mixture of normals. Such models are used to analy...
    Vivekananda Roy, James P. Hobert
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