Linear Algebra (Austin) · free preview
Using Singular Value Decompositions
Using Singular Value Decompositions
1. Introduction
Introduction
2. Introduction
Introduction
3. Least-squares problems
Least-squares problems
4. Rank $k$ approximations
Rank approximations
5. Principal component analysis
Principal component analysis
6. Image compressing and denoising
Image compressing and denoising
7. Analyzing Supreme Court cases
Analyzing Supreme Court cases
8. Summary
Summary
9. Practice
Practice
10. In your own words
Summarize the key ideas of this section in your own words, then check yourself against the section text.
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