Explore >> Select a destination
|
You are here 
|
0fps.net | ||
| | | | |
livesys.se
|
|
| | | | | ||
| | | | |
buttondown.com
|
|
| | | | | I saw a fun post this week about interpreting colours as vectors and the way you can exploit that interpretation to nicely represent certain operations you... | |
| | | | |
blog.wesleyac.com
|
|
| | | | | Designing State-Space controllers | |
| | | | |
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... | ||
