<?xml version="1.0" encoding="utf-8" standalone="yes"?>
<oembed>
  <author_name>IsThisAPen</author_name>
  <author_url>https://blog.hatena.ne.jp/IsThisAPen/</author_url>
  <blog_title>Notes_EN</blog_title>
  <blog_url>https://noteisthisapen.hatenadiary.com/</blog_url>
  <categories>
    <anon>Formula</anon>
    <anon>Linear algebra</anon>
  </categories>
  <description>It is very easy to derive rotation matrix. This method is applied to general cases. Derivation Step1. Calculate rotation of unit vectors Step2. Arrange two vectors Background: Why can we derive? Derivation Step1. Calculate rotation of unit vectors Calculate rotation of unit vector of $x$ axis by $\t…</description>
  <height>190</height>
  <html>&lt;iframe src=&quot;https://hatenablog-parts.com/embed?url=https%3A%2F%2Fnoteisthisapen.hatenadiary.com%2Fentry%2F2016%2F04%2F30%2F000000&quot; title=&quot;Easy way to derive rotation matrix - Notes_EN&quot; class=&quot;embed-card embed-blogcard&quot; scrolling=&quot;no&quot; frameborder=&quot;0&quot; style=&quot;display: block; width: 100%; height: 190px; max-width: 500px; margin: 10px 0px;&quot;&gt;&lt;/iframe&gt;</html>
  <image_url>https://cdn-ak.f.st-hatena.com/images/fotolife/I/IsThisAPen/20170103/20170103224421.png</image_url>
  <provider_name>Hatena Blog</provider_name>
  <provider_url>https://hatena.blog</provider_url>
  <published>2016-04-30 00:00:00</published>
  <title>Easy way to derive rotation matrix</title>
  <type>rich</type>
  <url>https://noteisthisapen.hatenadiary.com/entry/2016/04/30/000000</url>
  <version>1.0</version>
  <width>100%</width>
</oembed>
