CSCI 482 - Matrix Computations

Institution:

Virginia State University

Subject:

Description:

This course is fundamental for students who will pursue graduate studies of applications of computers to science and engineering. Vector and matrix Norms. Numerical Linear Algebra, condition number, singular values. Householder and Givens transformations. Orthogonalization and least Squares methods. The eigenvalue problem. Basic iterative methods: Jacobi Gauss-Seidel and SOR.

Credits:

3.00

Credit Hours:

Prerequisites:

Corequisites:

Exclusions:

Level:

Instructional Type:

Lecture

Notes:

Additional Information:

Historical Version(s):

Institution Website:

www.vsu.edu

Phone Number:

(804) 524-5000

Regional Accreditation:

Southern Association of Colleges and Schools

Calendar System:

Semester

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