ADVANCED LINEAR ALGEBRA

MATH403.01

Topics in linear algebra beyond those in a first course. For example: principal component analysis and other decompositions (singular value, Cholesky, etc.); Perron-Frobenius theory; positive semi-definite matrices; linear programming and more general convexity and optimization; basic simplicial topology; Gerschgorin theory; classical matrix groups. Applications to computer science, statistics, image processing, economics, or other fields of mathematics and science. Instructor: Staff

Prerequisite: 
Prerequisite: Mathematics 221 or 218.
Instructor: Miller, Ezra
Time: MW 1:25pm-2:40pm
Location: Physics 227