Historically, cosmological models rely on "free parameters"—arbitrary, human-tuned variables inserted into the math to force the formulas to match reality. Kulkarni's updated simulation completely ...

Parametric CFD analysis lets users statistically determine the fluid flow around a device. Fluid dynamics is one of the primary engineering sciences used to design a wide variety of vehicles, machines ...

A prototype micronozzle is tested in both thermal conductive and adiabatic status to reveal the effect of wall heat transfer on nozzle performance. The wall heat transfer leads to 2 results. The first ...

The stochastic root-finding problem is that of finding a zero of a vector-valued function known only through a stochastic simulation. The simulation-optimization problem is that of locating a ...

This paper examines a set of value-at-risk (VaR) models and their ability to appropriately describe and capture price-change risk in the European energy market. We make in-sample, one-day-ahead VaR ...

Sensors in automotive designs are used in a wide range of applications from measuring the pressure of gas tank vapor and exhaust to tracking magnetics for gear tooth and valve position. Regardless of ...

This chapter presents the results of the literature review for operational traffic simulation models. Sources compiled for the literature review include guidance documents (general and DOT-specific), ...