Linear Algebra: Foundations to Frontiers Spring 2019 now in session at edX (click)

Linear Algebra:Foundations to Frontiers - Notes to LAFF With
(with MATLAB - Spring 2019 Edition)

Looking for the 2014 materials that use IPython Notebooks? Click HERE .

An e-book (PDF) that integrates the materials for the Spring 2017 offering of LAFF, including 270+ short videos, answers to exercises, browser-based activities, and programming exercises in M-script (the programming language of MATLAB). This artifact encompasses a full undergraduate introductory course on linear algebra and is used at the primary resource for such a course at UT-Austin.

Who should LAFF?

Here are some people who may want to consider Linear Algebra: Foundations to Frontiers - Notes to LAFF With:

If you are still trying to decide whether LAFF is for you, you may want to read some of the Reviews of LAFF (The MOOC) on CourseTalk.

Ready to LAFF?

Please consider "pick your price"

  • Publication of these materials is self-funded by the authors.
  • Fund our future projects!
  • Pick your price! You determine what LAFF is worth to you.
  • Thank you!

If you reside OUTSIDE Texas (no sales tax!):

If you reside in Texas (sales tax!):


(We prefer you use PayPal, but you don't, you can purchase on lulu.com:
After you buy on LULU.com, you will want to Download the materials, including the PDF for the book.
(In other words, we are just using lulu to give you an alternative means for paying.)

For free

  • Have a look before you purchase.
  • Can't afford a contribution? Pay forward! Donate something small to a local charity, tutor someone in linear algebra, do something good for the world.
  • Already bought a copy and want a newer release? Help yourself!
  • Some might think LAFF is priceless and that it would be wrong to put a price on it.
  • Just click below and you can get to the materials.




Click to download materials.

Wanna LAFF Some More?

The above introductory undergraduate materials prepare you for
Linear Algebra: Foundations to Frontiers - Notes on Numerical Linear Algebra.