From d7b6c72d0559faec8c57ed5cb145e4f30ea374f8 Mon Sep 17 00:00:00 2001
From: Robert Lanzafame <R.C.Lanzafame@tudelft.nl>
Date: Thu, 21 Nov 2024 13:56:32 +0100
Subject: [PATCH] PA 2.2 add GH classroom link
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content/Week_2_2/PA/README.md | 1 +
src/students/Week_2_2/README.html | 4 ++--
2 files changed, 3 insertions(+), 2 deletions(-)
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# PA 2.2: Love is Sparse
*[CEGM1000 MUDE](http://mude.citg.tudelft.nl/): Week 2.2. Due: before Friday, November 22nd, 2024.*
+_You can access this assignment with the following link: [classroom.github.com/a/yyIrSrxc](https://classroom.github.com/a/yyIrSrxc)._
This assignment will introduce you to the concept of sparse matrices in Python and how they can be useful to speed up computations and reduce file sizes. This is especially important when using the numerical schemes we are learning about (FDM, FVM, FEM) to solve problems with a lot of unknowns at each time step. To accomplish this, we will be using the `scipy.sparse` library.
diff --git a/src/students/Week_2_2/README.html b/src/students/Week_2_2/README.html
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<h1 id="pa-22-love-is-sparse">PA 2.2: Love is Sparse</h1>
-<p><em><a href="http://mude.citg.tudelft.nl/">CEGM1000 MUDE</a>: Week 2.2. Due: before Friday, November 22nd, 2024.</em></p>
-<p><em>You can access this assignment with the following link: <a href="https://classroom.github.com/a/yyIrSrxc">classroom.github.com/a/yyIrSrxc</a>.</em></p>
+<p><em><a href="http://mude.citg.tudelft.nl/">CEGM1000 MUDE</a>: Week 2.2. Due: before Friday, November 22nd, 2024.</em>
+<em>You can access this assignment with the following link: <a href="https://classroom.github.com/a/yyIrSrxc">classroom.github.com/a/yyIrSrxc</a>.</em></p>
<p>This assignment will introduce you to the concept of sparse matrices in Python and how they can be useful to speed up computations and reduce file sizes. This is especially important when using the numerical schemes we are learning about (FDM, FVM, FEM) to solve problems with a lot of unknowns at each time step. To accomplish this, we will be using the <code>scipy.sparse</code> library.</p>
<p>The instructions and technical content for this PA are included in the attached notebook file. Enjoy!</p>
<h2 id="grading-criteria">Grading Criteria</h2>
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GitLab