Gram–Schmidt process which is a method for orthonormalising a set of vectors in an inner product space. (Image from public domain.)
Instructor(s)
David Vogan
MIT Course Number
18.700
As Taught In
Fall 2013
Level
Undergraduate
Course Description
Course Features
Course Description
This course offers a rigorous treatment of linear algebra, including vector spaces, systems of linear equations, bases, linear independence, matrices, determinants, eigenvalues, inner products, quadratic forms, and canonical forms of matrices. Compared with 18.06 Linear Algebra, more emphasis is placed on theory and proofs.
Other Versions
OCW Scholar Version 
Other OCW Versions
Archived versions: 