Offered by the Department of Mathematical Sciences at Faculty of Science and Technology Modelling under uncertainty has become one of the buzzwords of these days. Finance, weather prediction, biology, ...

The aim of this course is to provide an introduction to modern methods for studying nonlinear partial differential equations. The content of the course, which can change from time to time, is built ...

Can you chip in? As an independent nonprofit, the Internet Archive is fighting for universal access to quality information. We build and maintain all our own systems, but we don’t charge for access, ...

Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, Netherlands The rapid growth of large-scale neuroscience datasets has spurred diverse modeling strategies, ranging ...

Wetzell specializes in probability and statistics. He advises students on careers in actuarial science, and was active in developing calculus reform materials and extending that approach into the ...

Commonly, in Ordinary Differential Equations courses, equations with impulses or discontinuous forcing functions are studied. In this context, the Laplace Transform of the Dirac delta function and ...

This second edition to A First Course in Partial Differential Equations provides a clear, rigorous, and student-friendly introduction to the core theory and solution techniques for partial ...

The current Calculus 1, 2, 3, and Differential Equations courses in the OSSU math roadmap focus too much on doing calculations instead of teaching proofs. Right now, the calculus and differential ...

This short course covers trendy areas in modern geocomputing with broad geoscientific applications. The physical processes governing natural systems' evolution are often mathematically described as ...