isLouisHsu / isLouisHsu/isLouisHsu.github.io

SVD | LOUIS' BLOG

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Description

https://louishsu.xyz/2018/10/23/SVD/

引言奇异值分解Singular Value Decomposition是线性代数中一种重要的矩阵分解,奇异值分解则是特征分解在任意矩阵上的推广。在信号处理、统计学等领域有重要应用。 原理从特征值分解(EVD)讲起我们知道对于一个$n$阶方阵$A_{n×n}$,有 A\alpha_i = \lambda_i \alpha_i i = 1, ..., n取 P = \left[\alpha_1,

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First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

Read the issue body and the linked SVD article at louishsu.xyz/2018/10/23/SVD/. The issue does not state what should change, name a repository file, or define completion; clarify the intended documentation task before starting work.

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Assessment

Domain
content
Issue type
Documentation
Difficulty
5/5
Estimated time
Over a week
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
10/100

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