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| CSI 740 - Numerical Linear Algebra |
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Covers computational methods for matrix systems; theory and development of numerical algorithms for the solution of linear systems of equations, including direct and iterative methods; analysis of sensitivity of system to computer round off; and solution of least squares problems using orthogonal matrices. Also covers computation of eigenvalues and eigenvectors, singular value decomposition, and applications.
3.000 Credit hours 3.000 Lecture hours Levels: Graduate, Non-Degree, Washington Consortium Schedule Types: Lecture Computational & Data Sciences Department Course Attributes: Graduate - Advanced Restrictions: Must be enrolled in one of the following Levels: Non-Degree Graduate May not be enrolled in one of the following Degrees: Non-Degree Undergraduate |
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