You can use these live scripts as demonstrations in lectures, class activities, or interactive assignments outside class. This module covers the definition and computation of 1D and 2D convolution, as ...

We study the application of the generalized convolution quadrature (gCQ) based on Runge--Kutta methods to approximate the solution of an important class of sectorial problems. The gCQ generalizes ...

Abstract: We present in this paper on how we can replace the multipliers with basic operations like shifting and addition in the linear convolution method considering ease of implementation, making it ...

Abstract: In recent years, graph neural networks have been widely used in solving math word problems. However, previous researches are still not deep enough to mine numerical values in text. Therefore ...

The receptive field is defined as the region in the input space that a particular CNN’s feature is looking at (i.e. be affected by). For convolutional neural network, the number of output features in ...

ABSTRACT: We show that Yang-Mills equation in 3 dimensions is local well-posedness in Hs if the norm is sufficiently. Here, we construct a solution on the quadric that is independent of the time. And ...