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» Scenario-based Stochastic Constraint Programming
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ICCAD
2007
IEEE
134views Hardware» more  ICCAD 2007»
13 years 11 months ago
Efficient decoupling capacitance budgeting considering operation and process variations
This paper solves the variation-aware on-chip decoupling capacitance (decap) budgeting problem. Unlike previous work assuming the worst-case current load, we develop a novel stocha...
Yiyu Shi, Jinjun Xiong, Chunchen Liu, Lei He
AAAI
1998
13 years 9 months ago
Bayesian Network Models for Generation of Crisis Management Training Scenarios
We present a noisy-OR Bayesian network model for simulation-based training, and an efficient search-based algorithm for automatic synthesis of plausible training scenarios from co...
Eugene Grois, William H. Hsu, Mikhail Voloshin, Da...
JPDC
2008
122views more  JPDC 2008»
13 years 7 months ago
Stochastic robustness metric and its use for static resource allocations
This research investigates the problem of robust static resource allocation for distributed computing systems operating under imposed Quality of Service (QoS) constraints. Often, ...
Vladimir Shestak, Jay Smith, Anthony A. Maciejewsk...
APPROX
2006
Springer
120views Algorithms» more  APPROX 2006»
13 years 11 months ago
Single-Source Stochastic Routing
Abstract. We introduce and study the following model for routing uncertain demands through a network. We are given a capacitated multicommodity flow network with a single source an...
Shuchi Chawla, Tim Roughgarden
IOR
2010
98views more  IOR 2010»
13 years 4 months ago
A Shadow Simplex Method for Infinite Linear Programs
We present a Simplex-type algorithm, that is, an algorithm that moves from one extreme point of the infinite-dimensional feasible region to another not necessarily adjacent extrem...
Archis Ghate, Dushyant Sharma, Robert L. Smith