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…

We study the optimal pricing strategies of a monopolist selling a divisible good (service) to consumers that are embedded in a social network. A key …

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

This paper considers the distributed consensus problem of linear multi-agent systems subject to different matching uncertainties for both the cases w…

Many applications of computational fluid dynamics require multiple simulations of a flow under different input conditions. In this paper, a numerical…

We present a powerful and easy-to-implement iterative algorithm for solving large-scale optimization problems that involve $L_1$/total-variation (TV)…

Collaborative signal processing and sensor deployment have been among the most important research tasks in target tracking using networked sensors. I…

This paper studies the cooperative source seeking problem via a networked multi-vehicle system. In contrast to the existing literature, each vehicle …

We present a numerical method for the approximation of solutions for the class of stochastic differential equations driven by Brownian motions which …

Despite the industrial importance of dense suspensions of hard particles, few constitutive models for them have been proposed or tested. Most of thes…

The definition of partial differential equation (PDE) models usually involves a set of parameters whose values may vary over a wide range. The soluti…

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

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…

We study for the first time Schwarz domain decomposition methods for the solution of the Navier equations modeling the propagation of elastic waves. …

Recent progress in PDE constrained optimization on shape manifolds is based on the Hadamard form of shape derivatives, i.e., in the form of integrals…

Active subspaces can effectively reduce the dimension of high-dimensional parameter studies enabling otherwise infeasible experiments with expensive …

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