Across modern data-intensive disciplines, the union of numerical computation, statistics, and machine learning has become ...

PyAutoFit is a Python based probabilistic programming language for model fitting and Bayesian inference of large datasets. The basic PyAutoFit API allows us a user to quickly compose a probabilistic ...

Abstract: This article investigates the nonlinear model predictive control (NMPC) for electric bus operations (EBOs) under dynamic environments, based on the generalized disjunctive programming (GDP) ...

Optimal control problems are pervasive across numerous disciplines, including engineering, economics, biology, and medicine, where they play a crucial role in optimizing the performance of dynamic ...

The accessibility of medical services in Mainland China had been on the rise, leading to a surge in the number of Magnetic Resonance Imaging (MRI) scans. This increase had caused substantial delays in ...

Abstract: In this paper, is used nonlinear programming method to modify the well-known variable gradient method for constructing the Lyapunov function of a system of ordinary differential equations.

Using two optically trapped glass nanoparticles, researchers observed a novel collective Non-Hermitian and nonlinear dynamic driven by nonreciprocal interactions. This contribution expands traditional ...

An illustration of a magnifying glass. An illustration of a magnifying glass.

We propose a new method for solving high-dimensional dynamic programming problems and recursive competitive equilibria with a large (but finite) number of heterogeneous agents using deep learning. We ...

To program complex behavior in environments incompatible with electronic controllers such as within bioreactors or engineered cells, we turn to chemical information processors. While chemical ...

The current release of this book can be found at here. This book was desigend originally for the undergraduete course ISE 3434 - "Deterministic Operations Research II" taught at Virginia Tech. I will ...