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| | nickhar.wordpress.com
5.1 parsecs away

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| | 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...
| | rhubbarb.wordpress.com
3.7 parsecs away

Travel
| | My previous post was written with the help of a few very useful tools: LaTeX mathematical typesetting Gummi LaTeX editor Python programming language PyX Python / LaTeX graphics package my own PyPyX wrapper around PyX LaTeX2WP script for easy conversion from LaTeX to WordPress HTML
| | algorithmsoup.wordpress.com
2.7 parsecs away

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| | This is part of a new sequence of posts titled, My favorite example of: $latex {x}&fg=000000$, for different values of $latex {x}&fg=000000$. Today, $latex {x}&fg=000000$ is the pigeonhole principle. The Erdös-Szekeres Theorem: Consider any sequence of $latex {n}&fg=000000$ distinct numbers. There must exist a subsequence $latex {S}&fg=000000$ of $latex {\sqrt{n}}&fg=000000$ numbers such that $latex {S}&fg=000000$...
| | backstreetthunder.wordpress.com
11.2 parsecs away

Travel
| [AI summary] A blog post discussing street bike culture and related activities with a focus on speed and Flyer tags.