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Date
Sep 22, 2021
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Information Select the Course Number to get further detail on the course. Select the desired Schedule Type to find available classes for the course.

ACM 713 - Numerical Linear Algebra
Fundamentals of linear algebra, norms, singular value decomposition, projectors, QR factorization, Gram-Schmidt orthogonalization, Householder triangularization, conditioning, stability, conditioning of least squares problems, stability of least squares algorithms, Gaussian elimination, pivoting, stability of Gaussian elimination, Cholesky factorization, eigenvalue problems, reduction to Hessenberg or tridiagonal form, Rayleigh quotient, inverse iteration, QR algorithm with and without shifts. [3-0, 3 Cr.]
3.000 Credit hours
3.000 Lecture hours

Levels: Graduate
Schedule Types: Lecture, Tutorial

Computer Science & Mathematics Department


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