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» Modeling Dependencies in Stochastic Simulation Inputs
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CDC
2009
IEEE
106views Control Systems» more  CDC 2009»
14 years 2 months ago
Gradient methods for iterative distributed control synthesis
— In this paper we present a gradient method to iteratively update local controllers of a distributed linear system driven by stochastic disturbances. The control objective is to...
Karl Martensson, Anders Rantzer
LSGRID
2004
Springer
14 years 3 months ago
Distributed Cell Biology Simulations with E-Cell System
Many useful applications of simulation in computational cell biology, e.g. kinetic parameter estimation, Metabolic Control Analysis (MCA), and bifurcation analysis, require a large...
Masahiro Sugimoto, Kouichi Takahashi, Tomoya Kitay...
ICCS
2007
Springer
14 years 3 months ago
High Quality Surface Mesh Generation for Multi-physics Bio-medical Simulations
Abstract. Manual surface reconstruction is still an everyday practice in applications involving complex irregular domains necessary for modeling biological systems. Rapid developme...
Dominik Szczerba, Robert H. P. McGregor, Gá...
MASCOTS
2004
13 years 11 months ago
A Hysteresis Model for Web/TCP Transfer Latency
This paper presents an accurate stochastic model for transfer latency of short-lived Web-like TCP flows with random packet losses. Our model characterizes a data transfer in alter...
Yujian Li, Carey L. Williamson
WSC
2004
13 years 11 months ago
A Unified Approach for Finite-Dimensional, Rare-Event Monte Carlo Simulation
We consider the problem of estimating the small probability that a function of a finite number of random variables exceeds a large threshold. Each input random variable may be lig...
Zhi Huang, Perwez Shahabuddin