In a recent advance, a multi-disciplinary team of researchers developed a machine learning framework that adapts to changes ...

In the context of quantum physics, the term "duality" refers to transformations that link apparently distinct physical ...

ABSTRACT: The research paper investigates the computation of Casimir operators on s l 2 -modules associated with linear differential operators and symbols on the real line. The study considers spaces ...

This book is an introduction to partial differential equations (PDEs) and the relevant functional analysis tools which they require. It is based on a course which has been taught at Michigan State ...

This monograph is devoted to the existence and stability (Ulam–Hyers–Rassias stability and asymptotic stability) of solutions for various classes of functional differential equations or inclusions ...

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

Condition (7) ensures that the matrix in (3) has diagonal form. Let be a unit vector orthogonal to the unit normal vector of the plane, so that Equations (4) hold. A suitable vector is obtained as a ...

The course also deals with kinematic and inverse kinematic equations for various robot systems, simple control techniques and control of robot systems, as well as the application areas of robot ...

Transfer equivalencies determine how courses from other institutions align with our university’s curriculum, ensuring students receive appropriate credit for their previous coursework. Use this page ...

Solving some examples of partial differential equations (PDE) using fenics. To represent the results use paraview.