MATH-5424: Numerical Linear Algebra
Description: Matrix factorizations and iterative algorithms. Stability analysis, accuracy, and problem conditioning. Solving large systems of linear equations, linear least-squares, and eigenvalue problems. Pre: Graduate standing.
Pathways: N/A
Course Hours: 3 credits
Corequisites: N/A
Crosslist: N/A
Repeatability: N/A
Sections Taught: 5
Average GPA: 3.58 (A-)
Strict A Rate (No A-) : 49.92%
Average Withdrawal Rate: 0.00%
| Serkan Gugercin | 2023 | 90.3% | 9.8% | 0.0% | 0.0% | 0.0% | 0.0% | 3.90 | 2 |
| Jeffrey T Borggaard | 2019 | 62.5% | 25.0% | 12.5% | 0.0% | 0.0% | 0.0% | 3.46 | 1 |
| Christopher A Beattie | 2021 | 50.0% | 50.0% | 0.0% | 0.0% | 0.0% | 0.0% | 3.44 | 1 |
| Agnieszka K Miedlar | 2022 | 25.0% | 75.1% | 0.0% | 0.0% | 0.0% | 0.0% | 3.19 | 1 |