MATH 146: Numerical Linear Algebra
Matrix factorization and iterative methods for solving systems of linear equations. Topics include floating point arithmetic, eigenvalue problems, conditioning and stability, LU factorization, QR factorization, and SVD with applications in science and engineering.
Prerequisite: (MATH 141 or MATH 130 or MATH 131 , any of which may be taken concurrently) and (ME 021 or (CSE 020 and CSE 021 or equivalent exam)). Normal Letter Grade only. Laboratory included.
Fall 2018 course scheduling information
Spring 2019 course scheduling information
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