Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components. Ordinary differential equations (ODEs), stochastic differential ...

Abstract: Accurate load forecasting plays an essential role in the measurement, monitoring, and control frameworks of modern power systems, particularly given the continuous influx of high-resolution ...

This book presents a complete theory of ordinary differential equations, with many illustrative examples and interesting exercises. A rigorous treatment is offered with clear proofs for the ...

Abstract: Continuous diagnosis prediction based on multi-modal electronic health records (EHRs) of patients is a promising yet challenging task for AI in healthcare. Existing studies ignore abundant ...

This textbook gives an introduction to Partial Differential Equations (PDEs), for any reader wishing to learn and understand the basic concepts, theory, and solution techniques of elementary PDEs. The ...

The course gives an introduction to analytical techniques for partial differential equations, in particular to separation of variables. In addition the course treats qualititative properties of ...

Functions, examples and data from the first and the second edition of "Numerical Methods and Optimization in Finance" by M. Gilli, D. Maringer and E. Schumann (2019 ...

With increasing freshwater demand and rising water scarcity, reverse osmosis (RO) has become a key method for seawater ...

If you’re looking for a law school that will provide you with a well-rounded legal education, nationally recognized faculty, a breadth of course offerings, and countless practical opportunities, ...