CSCI8314
CSCI 8314 - Sparse Matrix Computations (3 Cr.)
Computer Science and Engineering Administration (11108)
TIOT - College of Science and Engineering
CSCI 8314 - Sparse Matrix Computations (3 Cr.)
Course description
Sparsity and sparse matrices. Data structures for sparse matrices. Direct methods for sparse linear systems. Reordering techniques to reduce fill-in such as minimal degree ordering and nested dissection ordering. Iterative methods. Preconditioning algorithms. Algorithms for
sparse eigenvalue problems and sparse least-squares.
prereq: 5304 or numerical linear algebra course or instr consent
sparse eigenvalue problems and sparse least-squares.
prereq: 5304 or numerical linear algebra course or instr consent
Minimum credits
3
Maximum credits
3
Is this course repeatable?
No
Grading basis
OPT - Student Option
Lecture
Fulfills the writing intensive requirement?
No
Typically offered term(s)
Periodic Spring