in this paper, we have outlined the surrogate management framework for optimization of expensive functions. an initial simple iterative method which we call the “strawman” method illustrates how surrogates can be incorporated into optimization to stand in for the most expensive function. these ideas are made rigorous by incorporating them into the framework of pattern search methods. the smf al...

dibutyl phthalate (dbp) is a phthalic acid ester and is widely used in polymeric products to make them more flexible. dbp is found in almost every plastic material and is believed to be persistent in the environment. various analytical methods have been used to measure dbp in different matrices. considering the ubiquitous nature of dbp, the most important challenge in dbp analyses is the contam...

The article searches for the possible presence of determinism in heart rate variability (HRV) signals by using a new approach based on NARMA (nonlinear autoregressive moving average) modeling and free-run prediction. Thirty-three 256-point HRV time series obtained from Wistar rats submitted to different autonomic blockade protocols are considered, and a collection of surrogate data sets are gen...

We propose a novel deep learning based surrogate model for solving high-dimensional uncertainty quantification and propagation problems. The proposed architecture is developed by integrating the well-known U-net with Gaussian Gated Linear Network (GGLN) referred to as induced or GLU-net. GLU-net treats problem an image regression hence, extremely data efficient. Additionally, it also provides e...