MATH-5486: Numerical Analysis and Software
Description: Presentation and analysis of numerical methods for solving common mathematical and physical problems. Methods of solving large sparse linear systems of equations, algebraic eigenvalue problems, and linear least squares problems. Numerical algorithms for solving constrained and unconstrained optimization problems. Numerical solutions of nonlinear algebraic systems. Convergence, error analysis. Hardware and software influences. Efficiency, accuracy, and reliability of software. Robust computer codes.
Pathways: N/A
Course Hours: 3 credits
Sections Taught: 6
Average GPA: 3.81 (A)
Strict A Rate (No A-) : 72.37%
Average Withdrawal Rate: 0.00%
| Mark P Embree | 2022 | 100.0% | 0.0% | 0.0% | 0.0% | 0.0% | 0.0% | 3.91 | 1 |
| Alan M Lattimer | 2020 | 66.6% | 33.4% | 0.0% | 0.0% | 0.0% | 0.0% | 3.52 | 1 |
| Sturler Eric De | 2014 | 91.7% | 8.3% | 0.0% | 0.0% | 0.0% | 0.0% | 3.92 | 3 |
| Myungsuk Chung | 2018 | 72.7% | 27.3% | 0.0% | 0.0% | 0.0% | 0.0% | 3.67 | 1 |