R is an open-source programming language and environment with powerful and extensive features for data analysis, data visualization, and statistical computing. Although R first appeared in the 1990s, ...

Theory and understanding underpin a great deal of experimentation and engineering. Working together experimentalists can be guided by theoretical predictions and theoreticians can refine their models ...

This concentration is intended to prepare students for modeling and simulating various problems related to supply chain management, such as procurement, manufacturing, logistics and distribution, ...

In this special guest feature from Scientific Computing World, Gemma Church writes that the aerospace industry is stuck in the past – but it isn’t due to a lack of new simulation and modeling ...

Combining modeling and simulation with real-time operating data is the basis of the latest DOE Solar Energy and Technologies Office project. Our industry has long used modeling and simulation to ...

Managing the overwhelming numbers of molecular states and interactions is a fundamental obstacle to building predictive models of biological systems. Here we introduce the Network-Free Stochastic ...

R. S. MacLeod, J. G. Stinstra, S. Lew, R. T. Whitaker, D. J. Swenson, M. J. Cole, J. Krüger, D. H. Brooks and C. R. Johnson Philosophical Transactions: Mathematical ...

Achieving a better understanding of the crime event in its spatio-temporal context is an important research area in criminology with major implications for improving policy and developing effective ...