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Johns Hopkins University | EN.553.792

Matrix Analysis and Linear Algebra

4.0

credits

Average Course Rating

(4.52)

A second course in linear algebra with emphasis on topics useful in analysis, economics, statistics, control theory, and numerical analysis. Review of linear algebra, decomposition and factorization theorems, positive definite matrices, norms and convergence, eigenvalue location theorems, variational methods, positive and nonnegative matrices, generalized inverses. Prerequisite: one semester of real analysis.

Fall 2022

Professor: Donniell Fishkind

(4.52)

Lecture Sections

(01)

No location info
D. Fishkind
18:00 - 18:50

(02)

No location info
D. Fishkind
09:00 - 09:50