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MATH108C

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MATH 108C - Matrix Analysis

Mathematics College of Letters and Science

Full Course Title

Matrix Analysis

Instructor Name(s)

STAFF

Course Description

Eigenvalues, eigenvectors and similarity; Unitary equivalence and normal matrices; QR factorization; Least squares; Singular Value decomposition; Moore-Penrose generalized inverse; Hermitian and symmetric matrices; Variational characterization of eigenvalues; Positive definite matrices; Nonnegative matrices; Perron-Frobenius Theorem.

Unit Value

4

Maximum number of times course can be repeated for additional credit

0

Maximum Units

4

Prerequisites

Math 108A with a minimum grade of C