This strategy for differentiating instruction can help increase elementary and middle school students’ involvement in their ...

Partial differential equations (PDEs) are a class of mathematical problems that represent the interplay of multiple variables ...

Abstract: Fourier neural operator (FNO) is a recently proposed data-driven scheme to approximate the implicit operators characterized by partial differential equations ... forward simulations in ...

Neural operators, as a powerful approximation to the non-linear operators between infinite-dimensional function spaces, have proved to be promising in accelerating the solution of partial differential ...

"Of all the equations of physics, perhaps the most magical is the Dirac equation." When you purchase through links on our site, we may earn an affiliate commission. Here’s how it works.

Computational results revealed that a stochastic differential equation model is an accurate and effective approach. In comparison with traditional parametric models, stochastic differential equations ...

Consider the following parametric system of ordinary differential equations (ODEs). Here $t$ denotes time, $\mathbf{p}$ denotes a vector of system parameters ...