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djalil.chafai.net
| | nhigham.com

A norm on $latex \mathbb{C}^{m \times n}$ is unitarily invariant if $LATEX \|UAV\| = \|A\|$ for all unitary $latex U\in\mathbb{C}^{m \times m}$ and $latex V\in\mathbb{C}^{n\times n}$ and for all $latex A\in\mathbb{C}^{m \times n}$. One can restrict the definition to real matrices, though the term unitarily invariant is still typically used. Two widely used matrix norms...
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| | nuxx.net

[AI summary] The author explains the decision to remove a long-running public photo gallery from the internet and migrate their static assets to a home NAS.
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| | nickhar.wordpress.com

1. Low-rank approximation of matrices Let $latex {A}&fg=000000$ be an arbitrary $latex {n \times m}&fg=000000$ matrix. We assume $latex {n \leq m}&fg=000000$. We consider the problem of approximating $latex {A}&fg=000000$ by a low-rank matrix. For example, we could seek to find a rank $latex {s}&fg=000000$ matrix $latex {B}&fg=000000$ minimizing $latex { \lVert A - B...
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| | jaketae.github.io

Note: This blog post was completed as part of Yale's CPSC 482: Current Topics in Applied Machine Learning.
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