Abstract: This article presents an expanded form of time-to-go polynomial guidance (TPG), which generalizes constant-gain TPG to accommodate arbitrary time-varying functions. The proposed guidance law ...

Illustration of a set of real zeros of a graph polynomial (middle) and two Feynman diagrams. Credit: Max Planck Institute for Mathematics in the Sciences How can the tiniest particles and the vast ...

Graph Neural Networks (GNNs) exploit signals from node features and the input graph topology to improve node classification task performance. Recently proposed GNNs work across a variety of homophilic ...

General graph neural networks (GNNs) implement convolution operations on graphs based on polynomial spectral filters. Existing filters with high-order polynomial approximations can detect more ...

Recent advances in deep learning have bolstered our ability to forecast the evolution of dynamical systems, but common neural networks do not adhere to physical laws, critical information that could ...

Vector graph or chart of quadratic or polynomial function with formula f(x) = ax2 + bx + c. The mathematical operation, basic function. Graph with grid and coordinates isolated on white background.

In Power BI there’s a popular custom visual called “Filter by list” that lets you filter a Power BI report by any list of values that you paste into it. It can save you a lot of time in some scenarios ...

A mathematical function is a formula that takes an input, x, applies a set of calculations to it, and produces an output called y. By calculating a function at a large number of set intervals, it is ...