Nonlinear dynamics provides an essential framework for exploring complex phenomena in biological and medical sciences. By ...

THE teaching of differential equations in English universities usually ... would form an excellent addendum to a course in curve tracing, the two together being used to illuminate wide tracts ...

An acausal modeling framework for automatically parallelized scientific machine learning (SciML) in Julia. A computer algebra system for integrated symbolics for physics-informed machine learning and ...

He advises students on careers in actuarial science, and was active in developing calculus reform materials and extending that approach into the sophomore year in the multivariable calculus and ...

The course provides a thorough introduction to design, analysis (both theoretical and empirical), and programming of difference and elemental methods to solve differential equations. In addition, the ...

We propose a novel machine learning architecture, termed model-integrated neural networks (MINN), that can learn the physics-based dynamics of general autonomous or non-autonomous systems consisting ...

The proposed method is formulated by an ordinary differential equation (ODE) and its performance at any continuous time can be theoretically analyzed. Deriving and analyzing the continuous-time system ...

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 ...

Filipović, Damir and Tappe, Stefan 2007. Existence of Lévy term structure models. Finance and Stochastics, Vol. 12, Issue. 1, p. 83.

Compaan, E. and Tzirakis, N. 2017. Well-posedness and nonlinear smoothing for the “good” Boussinesq equation on the half-line. Journal of Differential Equations ...

MyCourses online learning environment is a tool for both students and teachers for communication and managing everyday course work. You need an Aalto User ID to log ...