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

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 ...

The adaptable technological solution has the potential to revolutionize engineering designs. A breakthrough in artificial ...

Partial Differential Equations (PDEs) are central to both pure and applied mathematics. Any quantity which changes in space ...

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 ...

You will be redirected to our submission process. In the past few years, fractional differential equations have emerged as a strong and well-organized mathematical tool in the study of many ...

Mathematicians at the Okinawa Institute of Science and Technology (OIST) are developing a new approach to detect cancer early ...

Abstract: Nonlinear equations systems (NESs) arise in a wide range of domains. Solving NESs requires the algorithm to locate multiple roots simultaneously. To deal with NESs efficiently, this study ...

Partial Differential Equations (PDEs) are central to both pure and applied mathematics. Any quantity which changes in space ...

Persistent Link: https://ieeexplore.ieee.org/servlet/opac?punumber=5264012 ...

Download here the JEE Mains 2025 Maths study strategy PDF. Get notes, important chapters for Class 11 and 12, easy and ...