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» Variance and Generalized Constraints for C
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CSDA
2008
56views more  CSDA 2008»
13 years 7 months ago
Robust designs for series estimation
We discuss optimal design problems for a popular method of series estimation in regression problems. Commonly used design criteria are based on the generalized variance of the est...
Holger Dette, Douglas P. Wiens
ANSS
1996
IEEE
13 years 11 months ago
Computation of the Asymptotic Bias and Variance for Simulation of Markov Reward Models
The asymptotic bias and variance are important determinants of the quality of a simulation run. In particular, the asymptotic bias can be used to approximate the bias introduced b...
Aad P. A. van Moorsel, Latha A. Kant, William H. S...
SIAMCO
2002
71views more  SIAMCO 2002»
13 years 7 months ago
Rate of Convergence for Constrained Stochastic Approximation Algorithms
There is a large literature on the rate of convergence problem for general unconstrained stochastic approximations. Typically, one centers the iterate n about the limit point then...
Robert Buche, Harold J. Kushner
COCOON
2008
Springer
13 years 9 months ago
A Linear Programming Duality Approach to Analyzing Strictly Nonblocking d-ary Multilog Networks under General Crosstalk Constrai
When a switching network topology is used for constructing optical cross-connects, as in the circuit switching case, no two routes are allowed to share a link. However, if two rou...
Hung Q. Ngo, Yang Wang 0014, Anh Le
COMPUTER
2002
129views more  COMPUTER 2002»
13 years 7 months ago
Networks on Chips: A New SoC Paradigm
of abstraction and coarse granularity and distributed communication control. Focusing on using probabilistic metrics such as average values or variance to quantify design objective...
Luca Benini, Giovanni De Micheli