Course Information
Description
Basic subject on matrix theory and linear algebra, emphasizing topics useful in other disciplines, including systems of equations, vector spaces, determinants, eigenvalues, singular value decomposition, and positive definite matrices. Applications to least-squares approximations, stability of differential equations, networks, Fourier transforms, and Markov processes. Uses linear algebra software. Compared with 18.700, more emphasis on matrix algorithms and many applications.
Class Notes
See MIT Schedule for times and locations;
Faculty: David Roe;
Prereq: Calculus II (GIR);
Subject Level: Undergraduate
School
Non-Harvard
Units
12
Cross Reg
Available for Harvard Cross Registration
Department
Mass Institute of Technology
Course Component
Regular Course
Subject
MIT Mathematics
Grading Basis
MIT Optional (LG/AUD)
