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quomodocumque.wordpress.com
| | austinmorlan.com
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| | It took me longer than necessary to understand how a rotation transform matrix rotates a vector through three-dimensional space. Not because it's a difficult concept but because it is often poorly explained in textbooks. Even the most explanatory book might derive the matrix for a rotation around one axis (e.g., x) but then present the other two matrices without showing their derivation. I'll explain my own understanding of their derivation in hopes that it will enlighten others that didn't catch on right away.
| | jrhawley.ca
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| | When collecting data from scientific experiments, it's often useful to compare individual samples against each other to see how similar they are. One way to do this is using the...
| | hadrienj.github.io
3.6 parsecs away

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| | In this post, we will see special kinds of matrix and vectors the diagonal and symmetric matrices, the unit vector and the concept of orthogonality.
| | francisbach.com
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| [AI summary] This mathematical post explores the geometry of positive semi-definite matrices using the von Neumann entropy and related Bregman divergences to derive concentration inequalities for random matrices.