This project explores the intersection of advanced calculus and macroeconomic theory. We model economic indicators such as inflation, GDP, and money supply growth using differential equations and ...
This repository contains a university-level project focused on the numerical resolution of Partial Differential Equations (PDEs). It explores different mathematical models (transport, diffusion, heat ...
Two new approaches allow deep neural networks to solve entire families of partial differential equations, making it easier to model complicated systems and to do so orders of magnitude faster. In high ...
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