Parameter estimation in differential equation models is a critical endeavour in the mathematical modelling of dynamic systems. Such models, represented by ordinary differential equations (ODEs), ...

In Huntington’s small community, tucked in a corner classroom of Smith Hall sits a unique piece of math history. Marshall ...

Model natural and engineered hydraulic and hydrologic systems. Manage large datasets and develop models for hydrodynamics. Gain in-depth modeling experience using real-world case studies in a ...

Delay differential equations (DDEs) are widely used in ecology, physiology and many other areas of applied science. Although the form of the DDE model is usually proposed based on scientific ...

Stochastic differential equations have been shown useful in describing random continuous time processes. Biomedical experiments often imply repeated measurements on a series of experimental units and ...

Develop a foundation of analytical mechanics and multiphysics modeling. Use individual and team exercises to build skills for a dynamic systems approach. Engineered systems increasingly must exploit ...

(Nanowerk News) Clemens Heitzinger, assistant professor of applied mathematics in the School of Mathematical and Statistical Sciences, has recently been awarded the prestigious START Prize by the ...

From industrial robots to self-driving cars, engineers face a common problem: keeping machines steady and predictable. When ...