Abstract. We consider a class of nonconforming finite element approximations of a simply laminated microstructure which minimizes the nonconvex variational problem for the deforma...
In this paper we study a Monte Carlo simulation based approach to stochastic discrete optimization problems. The basic idea of such methods is that a random sample is generated and...
Anton J. Kleywegt, Alexander Shapiro, Tito Homem-d...
—Probability models are estimated by use of penalized log-likelihood criteria related to AIC and MDL. The accuracies of the density estimators are shown to be related to the trad...
This paper analyzes a data mining/bump hunting technique known as PRIM (Fisher and Friedman, 1999). PRIM finds regions in high-dimensional input space with large values of a real...
We consider control systems of the type ˙x = Ax+α(t)bu, where u ∈ R, (A, b) is a controllable pair and α is an unknown time-varying signal with values in [0, 1] satisfying a ...