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Commit d7b6c72d authored by Robert Lanzafame's avatar Robert Lanzafame
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PA 2.2 add GH classroom link

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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.
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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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