Research news on mathematical simulation

Mathematical simulation is a computational method that uses formal mathematical models—such as systems of differential equations, stochastic processes, or optimization formulations—to numerically approximate the behavior of complex systems under specified conditions. It enables investigation of system dynamics, sensitivity to parameters, and emergent properties when analytical solutions are infeasible or intractable. Typical workflows include model specification, parameterization, numerical integration or iteration, and validation against empirical data. Mathematical simulations are central in fields such as physics, engineering, systems biology, and economics, supporting hypothesis testing, scenario analysis, and predictive inference while explicitly encoding assumptions about structure, interactions, and boundary conditions.

Prototype 'digital twin' helps better predict groundwater

For his Engineering Doctorate (EngD) program, ITC researcher Rodrigoandrés Morales developed a so-called digital twin: a digital model that analyzes and predicts the groundwater level in Enschede. With these predictions, ...

A new framework could transform national flood prediction

When severe weather strikes, the National Weather Service's (NWS) Office of Water Prediction (OWP) makes critical flood forecasts with the National Water Model. Despite improvements over time, the model's performance has ...

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