Matrices and Vector Spaces

MATH 218D

Solving systems of linear equations, matrix factorizations and fundamental vector subspaces, orthogonality, least squares problems, eigenvalues and eigenvectors, the singular value decomposition and principal component analysis, applications to data-driven problems. Prospective math majors should take Mathematics 221 instead. Not open to students who have taken Mathematics 216 or 221. Recommended prerequisite: Mathematics 21, 121, 106L, or 111L. Instructor: Staff

Prerequisites

Not open to students who have taken Mathematics 216 or 221

Curriculum Codes
  • QS
Typically Offered
Fall and/or Spring