184: Matrix Transform
explain xkcd: It's 'cause you're dumb.
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| titletext = In fact, draw all your rotational matrices sideways. Your professors will love it! And then they'll go home and shrink. | | titletext = In fact, draw all your rotational matrices sideways. Your professors will love it! And then they'll go home and shrink. | ||
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Revision as of 20:53, 12 February 2013
| Matrix Transformation |
 Title text: In fact, draw all your rotational matrices sideways. Your professors will love it! And then they'll go home and shrink. |
Explanation
A rotational matrix transformation (i.e. the big brackets with a few "cos" and "sin" in them) is used in computer graphics to rotate an image. The product of the transform matrix and the argument vector (a1, a2) is a rotated version of the argument vector. Here, the joke is that the author turned the image of the vector rather than writing the correct answer. Rotational matrix transformations are a special case of the general linear matrix transform, which can do other things to images, including shrinking them. However, turning the rotational matrix sideways does not make it a shrinking matrix.
Transcript
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