This paper uses a topic from multivariate analysis, i.e., canonical correlation theory, in the development of a generalized correlation coefficient for simultaneous equation systems. Canonical ...

Marcus du Sautoy uses combinations of peaches and plums and a set of scales, to show how simultaneous equations can be solved. This method didn’t appear in the West until the 19th century, but had ...

DeepFlow is a user-friendly framework for solving partial differential equations (PDEs), such as the Navier-Stokes equations, using Physics-Informed Neural Networks (PINNs). It provides a ...

Investopedia contributors come from a range of backgrounds, and over 25 years there have been thousands of expert writers and editors who have contributed. Vikki Velasquez is a researcher and writer ...

Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...

A PyTorch implementation of signature-based neural RDE methods for solving path-dependent BSDEs in quantitative finance. This repository contains the code and experiments for the paper "Deep Signature ...