CSCI5304
CSCI 5304 - Computational Aspects of Matrix Theory (3 Cr.) Online may be available
Computer Science and Engineering Administration (11108)
TIOT - College of Science and Engineering
CSCI 5304 - Computational Aspects of Matrix Theory (3 Cr.) Online may be available
Course description
Background in Linear Algebra: subspaces, ranks, vector, and matrix norms. Perturbation theory for linear systems and eigenvalue problems. Solution methods of linear systems and least-squares problems. Matrix factorizations. Computation of eigenvalues/eigenvectors. Singular value decomposition. Matlab and/or Python/numpy for demonstrating algorithms. Introduction to sparse matrix methods.
prereq: csci2033 or math2142 or math2243 or math2373 or math4242
prereq: csci2033 or math2142 or math2243 or math2373 or math4242
Minimum credits
3
Maximum credits
3
Is this course repeatable?
No
Grading basis
OPT - Student Option
Lecture
Requirements
012973
Fulfills the writing intensive requirement?
No
Typically offered term(s)
Every Fall