
Linear Algebra
- Vectors
- Matricies
- Dot Product, Cross Product
- Norms, Inner Products, Orthogonality
- Spaces and Subspaces
- Eigenvalues and Eigenvectors
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This pencast offers a worked out example of using the four subspaces and the Fundamental Theorem of Linear Algebra.
This pencast shows the construction of the four fundamental subspaces of linear algebra: Row Space, Nullspace, Column Space, and Left Nullspace.
This is the famous (hehe) lecture from youtube. If you are in my class, you must check this out!
In this pencast we go through an example of finding eigenvectors for a particular matrix.
These are some sample quizzes from an Applied Math for Engineers class, covering some aspects of linear algebra. I strongly recommend that you study as though these were real quizzes. You should give yourself 20 minutes to do them.
Here are two pencasts recapping the main ideas from Least Squares Approximations.
In this interactive app, a demo at hosted at UCLA gives a really nice, graphical demonstration of what applying a linear transformation does to a vector in 2-D
Click here to try the Algebrator software yourself. Technorati Profile
In this pencast, Doc shows us an example of Gaussian Elimination on a 3×3 matrix. You can watch Doc as he works through the steps and hear him explaining what he’s doing. A great introduction if this is your first pencast.
Here is a pencast showing that for the scalar quadraticthe minimum occurs at the value