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Mathematics / Convex optimization / Linear programming / Constraint / Entailment / Operations research / Logic / Mathematical optimization


Optimal Sampling Laws for Stochastically Constrained Simulation Optimization on Finite Sets Susan R. Hunter, Raghu Pasupathy The Grado Department of Industrial and Systems Engineering, Virginia Tech, Blacksburg, VA 24061
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Document Date: 2011-03-16 16:23:05


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File Size: 242,51 KB

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Assumption / /

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conceptual algorithm / probability law / sequential algorithm / approximate algorithm / estimated-feasible systems / worse infeasible systems / candidate solutions / vehicular transportation networks / infeasible systems / telecommunication systems / suboptimal feasible systems / suboptimal solution / suboptimal systems / implementable sequential algorithm / feasible systems / /

Organization

Virginia Tech / Grado Department of Industrial and Systems Engineering / /

Person

Olafsson / Kim / Nelson / Batur / Raghu Pasupathy / /

Position

Finite Sets Susan R. Hunter / nite General / /

Technology

approximate algorithm / corresponding algorithm / implementable sequential algorithm / Simulation / corresponding sequential algorithm / conceptual algorithm / /

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