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EN.553.792

Matrix Analysis and Linear Algebra

Johns Hopkins University 4 credits Applied Mathematics & Statistics

Course Description

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. Prerequisite(s): Students may take EN.550.692 or EN.553.792, but not both.

Code
EN.553.792
Credits
4
Subject
Applied Mathematics & Statistics

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