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.)


MIT Course Number


As Taught In

Fall 2013



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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.

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Related Content

David Vogan. 18.700 Linear Algebra. Fall 2013. Massachusetts Institute of Technology: MIT OpenCourseWare, License: Creative Commons BY-NC-SA.

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