This research considers the ranking and selection (R&S) problem of selecting the optimal subset from a finite set of alternative designs. Given the t…

The progression of scientific computing resources has enabled the numerical approximation of mathematical models describing complex physical phenomen…

We consider second order explicit and implicit two-step time-discrete schemes for wave-type equations. We derive optimal order aposteriori estimates …

We propose and study two second-order in time implicit-explicit (IMEX) methods for the coupled Stokes-Darcy system that governs flows in karst aquife…

Dynamic spectrum access is a new paradigm of secondary spectrum utilization and sharing. It allows unlicensed secondary users (SUs) to exploit opport…

Asynchronous decentralized event-triggered control (ADETC) is an implementation of controllers characterized by decentralized event generation, async…

A spectral method is developed for the direct solution of linear ordinary differential equations with variable coefficients. The method leads to matr…

The process of rank aggregation is intimately intertwined with the structure of skew-symmetric matrices. We apply recent advances in the theory and a…

This work considers energy management in a grid-connected microgrid which consists of multiple conventional generators (CGs), renewable generators (R…

We consider a dynamic assortment selection problem, where in every round the retailer offers a subset (assortment) of $N$ substitutable products to a…

We introduce a new approach for designing numerical schemes for stochastic differential equations (SDEs). The approach, which we have called directio…

We propose a novel numerical approach for nonlocal diffusion equations [8] with integrable kernels, based on the relationship between the backward Ko…

Accurate determination of the regularization parameter in inverse problems still represents an analytical challenge, owing mainly to the considerable…

The purpose of this work is to generalize the frozen Gaussian approximation (FGA) theory to solve the 3-D elastic wave equation and use it as the for…

Stochastic models are necessary for the realistic description of an increasing number of applications. The ability to identify influential parameters…

We propose an approach to study small limit cycle bifurcations on a center manifold in analytic or smooth systems depending on parameters. We then ap…

Inverse reinforcement learning (IRL) has become a useful tool for learning behavioral models from demonstration data. However, IRL remains mostly une…

Incorporating the side information of text corpus, i.e., authors, time stamps, and emotional tags, into the traditional text mining models has gained…

In this paper, we consider the problem of identifying a linear map from measurements which are subject to intermittent and arbitarily large errors. T…

The Gray-Scott (GS) model represents the dynamics and steady state pattern formation in reaction-diffusion systems and has been extensively studied i…

By signing up you accept our content policy

Already have an account? Sign in

No a member yet? Create an account