18.06 Linear Algebra
Basic subject on matrix theory and linear algebra, emphasizing topics useful in other disciplines, including systems of equations, vector spaces, determinants, eigenvalues, singular value decomposition, and positive definite matrices. Applications to least-squares approximations, stability of differential equations, networks, Fourier transforms, and Markov processes. Uses linear algebra software. Compared with 18.700, more emphasis on matrix algorithms and many applications.
This class has 18.02 as a prerequisite.
Lecture occurs 11:00 AM to 12:00 PM on Mondays, Wednesdays and Fridays in 10-250.
This class counts for a total of 12 credits.
You can find more information at the http://www.google.com/search?&q=MIT+%2B+18.06&btnG=Google+Search&inurl=https site or on the 18.06 Stellar site.
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