Linear Algebra

A set of orthogonal vectors in an inner product space.

Gram–Schmidt process which is a method for orthonormalising a set of vectors in an inner product space. (Image from public domain.)

Instructor(s)

MIT Course Number

18.700

As Taught In

Fall 2013

Level

Undergraduate

Cite This Course

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.

OCW Scholar Version Question_svt logo

Other OCW Versions

Archived versions: Question_avt logo

David Vogan. 18.700 Linear Algebra, Fall 2013. (Massachusetts Institute of Technology: MIT OpenCourseWare), http://ocw.mit.edu (Accessed). License: Creative Commons BY-NC-SA


For more information about using these materials and the Creative Commons license, see our Terms of Use.


Close