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IOR
2008
91views more  IOR 2008»
13 years 7 months ago
A Randomized Quasi-Monte Carlo Simulation Method for Markov Chains
We introduce and study a randomized quasi-Monte Carlo method for estimating the state distribution at each step of a Markov chain. The number of steps in the chain can be random an...
Pierre L'Ecuyer, Christian Lécot, Bruno Tuf...
ANSS
1998
IEEE
13 years 11 months ago
On Interval Weighted Three-Layer Neural Networks
In solving application problems, the data sets used to train a neural network may not be hundred percent precise but within certain ranges. Representing data sets with intervals, ...
Mohsen Beheshti, Ali Berrached, André de Ko...
VLSID
2004
IEEE
147views VLSI» more  VLSID 2004»
14 years 7 months ago
Computing Silent Gate Models for Noise Analysis from Slew and Delay Tables
Abstract--In this paper, we present a new approach to calculate the steady state resistance values for CMOS library gates. These resistances are defined as simple equivalent models...
Shabbir H. Batterywala, Narendra V. Shenoy
AUTOMATICA
2011
13 years 2 months ago
Sequential linear quadratic control of bilinear parabolic PDEs based on POD model reduction
We present a framework to solve a finite-time optimal control problem for parabolic partial differential equations (PDEs) with diffusivity-interior actuators, which is motivate...
Chao Xu, Yongsheng Ou, Eugenio Schuster
VLSID
2002
IEEE
124views VLSI» more  VLSID 2002»
14 years 7 months ago
Efficient Approximate Balanced Truncation of General Large-Scale RLC Systems via Krylov Methods
We present an efficient implementation of an approximate balanced truncation model reduction technique for general large-scale RLC systems, described by a statespace model where t...
Q. Su, Venkataramanan Balakrishnan, Cheng-Kok Koh