Focuses on numerical solutions to classic problems of linear algebra. Topics include: LU, Cholesky, and QR factorizations; iterative methods for linear equations; least square, power methods, and QR algorithms for eigenvalue problems; and conditioning and stability of numerical algorithms. Provides hands-on experience in implementing numerical algorithms for solving engineering and scientific problems. Basic knowledge of mathematical linear algebra is assumed. (Formerly AMS 213A.)
7 terms
Other grades
University of California, Santa Cruz
AM 213A at UCSC: average GPA 3.53 across 142 students. Grade distribution by term. Focuses on numerical solutions to classic problems of linear algebra. Topics…
Average GPA: 3.53
Grade distribution records: 142 students across 7 terms.
| Grade | Students | Percent |
|---|---|---|
| A+ | 58 | 40.8% |
| A | 25 | 17.6% |
| A- | 12 | 8.5% |
| B+ | 10 | 7.0% |
| B | 10 | 7.0% |
| B- | 4 | 2.8% |
| C+ | 1 | 0.7% |
| C | 2 | 1.4% |
| D | 3 | 2.1% |
| F | 5 | 3.5% |
| NP | 1 | 0.7% |
| S | 4 | 2.8% |
| U | 5 | 3.5% |
Based on 142 student grade records across 7 terms and 1 professor.
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