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WSC
2004
15 years 8 months ago
Bayesian Methods for Discrete Event Simulation
Bayesian methods are now used in a variety of ways in discrete-event simulation. Applications include input modeling, response surface modeling, uncertainty analysis, and experime...
Stephen E. Chick
MP
2006
134views more  MP 2006»
15 years 6 months ago
Cubic regularization of Newton method and its global performance
In this paper, we provide theoretical analysis for a cubic regularization of Newton method as applied to unconstrained minimization problem. For this scheme, we prove general local...
Yurii Nesterov, Boris T. Polyak
SIAMJO
2002
96views more  SIAMJO 2002»
15 years 6 months ago
A New Efficient Large-Update Primal-Dual Interior-Point Method Based on a Finite Barrier
We introduce a new barrier function which is not a barrier function in the usual sense: it has finite value at the boundary of the feasible region. Despite this, its iteration bou...
Y. Q. Bai, Mohamed El Ghami, Cees Roos
SIAMJO
2010
92views more  SIAMJO 2010»
15 years 1 months ago
Inexact Proximal Point Methods for Variational Inequality Problems
We present a new family of proximal point methods for solving monotone variational inequalities. Our algorithm has a relative error tolerance criterion in solving the proximal subp...
Regina Sandra Burachik, Joydeep Dutta
BMCBI
2007
194views more  BMCBI 2007»
15 years 6 months ago
A meta-data based method for DNA microarray imputation
Background: DNA microarray experiments are conducted in logical sets, such as time course profiling after a treatment is applied to the samples, or comparisons of the samples unde...
Rebecka Jörnsten, Ming Ouyang, Hui-Yu Wang