Sampling-Based Methods for Stochastic Optimization
Speaker Tito Homem-de-Mello https://users.iems.northwestern.edu/~tito/ Description Joint colloquium with IIT ECE Dept.
Speaker Tito Homem-de-Mello https://users.iems.northwestern.edu/~tito/ Description Joint colloquium with IIT ECE Dept.
Description In this work the Gierer-Meinhardt model is analyzed using Chebyshev collocation methods. This model is classified as a reaction-diffusion system and arises from biological pattern...
Description We present a parameterized algorithm that, given a graph G on n vertices and an integer parameter k, decides whether G has an independent set of size at most k in time O(2^{2.1152k+0.1028n...
Description This talk concentrates on the model-robust design problem for multiresponse model with possible bias. We assume that the fitted model for each response is first-degree or second-degree...
Speaker Mihai AnitescuArgonne National Laboratory, Division of Mathematical and Computer Scienceshttp://www.mcs.anl.gov/~anitescu/ Description Complementarity constraints are a very versatile modeling...
Description Archimedean copulas have proven to be remarkably useful for modeling dependence in a variety of settings. In this talk we will survey important aspects of the theory of Archimedean copulas...
Speaker Joe Tribbia Institute for Mathematics Applied to Geosciences, NCAR http://www.cgd.ucar.edu/cdp/gdsstaffwebs/tribbia.htm Description The problem of predicting the future state of the weather...