To finish this mini-series on “The World Aggregator”, let’s see how to create some nice pages to display our data. We will use some user-friendly JS libraries like D3.js and DataTables to easily render the information we gathered.
Last time, I introduced “The World Aggregator” project, a little web app I created to discover and better understand the Go language, and that I’m now presenting here in a “tutorial” style. In this second article, I will talk about Golang, its characteristics, and how we can use it to develop the server for our project.
Today, I start a little series of 3 articles on my first steps in the world of Golang, the programming language developed by Google. I’ve recently started to look into this and decided to apply it to a small web application project: “The World Aggregator”.
In this last article from the FEM series, I present some additional concepts related to the finite element method and further developments. In particular, I focus on finite element analysis, some methods for solving time-dependent problems and optimization ideas.
Today, let’s continue with the finite element method and focus on how to implement it on a computer. How do we discretize our domain? How do we actually compute the stuff that’s in our variational formulation – efficiently, that is? How do we store and visualize our solution?
The study of partial differential equations is a fascinating field of mathematics with many concrete applications, be it in physics, mechanics, meteorology, medicine, urbanism… Mathematicians model the world as equations to better understand it and, if possible, compute a theoretical solution to a physical problem. However, we can’t always get an analytical solution – for example if the geometry is too complex – and sometimes must rely on numerical methods to get an approximation.
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