This course aims to develop a computational view of stochastic differential equations (SDEs) for students who have an applied or engineering background, e.g., machine learning, signal processing, ...
Abstract: Many problems in science and engineering can be mathematically modeled using partial differential equations (PDEs), which are essential for fields like computational fluid dynamics (CFD), ...
This repository contains all the various and noteworthy short simple codes (in Python 3.13.5, Jupyter Notebook 7.4.5, Mathematica 13.3, R 4.4.2, and Julia 1.11.3) I have ever made while studying for ...
Abstract: Problems involving the classical linear partial differential equations of mathematical physics can be reduced to algebraic ones of a very much simpler structure by replacing the ...
What began with a focus on weather forecasting has evolved toward addressing errors in scientific modeling. In the collaborative environment of the Penn State Institute for Computational and Data ...
Public lunchtime lectures held at Parliament House in Canberra, on topics related to Parliament and governance. Related papers are published in the Papers on Parliament series. In this lecture Trish ...
UB Mathematics students can now download the pdf textbook for MTH 306, using the link on GitHub. Physical copies of the new edition are available from Amazon.
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