Solving partial differential equations (PDEs) is a required step in the simulation of natural and engineering systems. The associated computational costs significantly increase when exploring various ...
This repository contains code for the paper: "Enabling Local Neural Operators to perform Equation-Free System-Level Analysis" G. Fabiani, H. Vandecasteele, S. Goswami, C. Siettos, I.G. Kevrekidis ...
Abstract: Aiming at the problems that the existing physical neural network model is not precise enough in calculating nonlinear problems in the field of engineering, and the pure data-driven method ...
Abstract: This letter addresses the inverse problem for Linear-Quadratic (LQ) nonzero-sum N-player differential games, where the goal is to learn cost function parameters such that the given tuple of ...
Troy Segal is an editor and writer. She has 20+ years of experience covering personal finance, wealth management, and business news. Thomas J Catalano is a CFP and Registered Investment Adviser with ...
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