This paper studies the efficiency problem for visual transformers by excavating redundant
calculation in given networks. The recent transformer architecture has demonstrated its …

A powerful and usable class of methods for numerically approximating the solutions to
optimal stochastic control problems for diffusion, reflected diffusion, or jump-diffusion models …

Throughout history, networks have provided the foundations by which humans have
conducted their economic activities. Transportation and logistical networks make possible …

This book is a substantially revised and expanded edition reflecting major developments in
stochastic numerics since the 1st edition [314] was published in 2004. The new topics …

The variational inequality problem has been utilized to formulate and study a plethora of
competitive equilibrium problems in different disciplines, ranging from oligopolistic market …

Power grids, flexible manufacturing, cellular communications: interconnectedness has
consequences. This remarkable book gives the tools and philosophy you need to build …

We study the problem of algorithmically optimizing the Hamiltonian HN H_N of a spherical or
Ising mixed pp‐spin glass. The maximum asymptotic value OPT OPT of HN/N H_N/N is …

This paper addresses the dynamics of lung cancer by employing a fractional-order
mathematical model that investigates the combined therapy of surgery and immunotherapy …

Certain diffusion processes known as semimartingale reflecting Brownian motions (SRBMs)
have been shown to approximate many single class and some multiclass open queueing …

In this paper we consider stochastic differential equations with reflecting boundary
conditions for domains that might have corners and for which the allowed directions of …