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Spring 2018
Mar 29, 2024
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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.

CSI 740 - Numerical Linear Algebra
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


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