Linear algebra done right
- ID
- 14943
- Status
- summarized
- Published
- 17 Aug 2026, 1:21 PM
- Fetched
- 19 Aug 2026, 1:57 AM
- Provider
- Hacker News
- Category
- dev-community
- Original URL
- https://linear.axler.net/
- Source URL
- https://hnrss.org/best
Summary
- Score
- 5.5
- Created
- 19 Aug 2026, 2:00 AM
- Tags
- Audience
- ai-ml-learnersdevelopers
What happened
Sheldon Axler's 'Linear Algebra Done Right,' 4th edition (August 2026) is now open access under Creative Commons BY-NC, with free PDFs in English, Chinese, Farsi, Greek, and Portuguese. The 4th edition adds over 250 new exercises and 70 new examples, and continues its distinctive approach of deferring determinants to the end while focusing on linear operators on finite-dimensional vector spaces.
Why it matters
If you're an AI/ML learner or practitioner who wants to strengthen linear algebra foundations—eigenvectors, SVD, spectral theorem—this is a respected, now-free textbook you can download immediately instead of paying for the Springer print version. The determinant-free pedagogical approach may suit those who found traditional treatments unmotivating.
Discussion angle
Whether the determinant-last approach actually helps practitioners who mainly need linear algebra for ML workflows, versus those who need it for graphics or signal processing where determinants appear earlier and more naturally.