CMSC764

Advanced Numerical Optimization

Reviews for this courseTestudo

Prerequisite: MATH410; or permission of instructor. Jointly offered wit h AMSC607. Credit only granted for: AMSC607 or CMSC764. Formerly: CMSC878O. Modern numerical methods for solving unconstrained and constrained nonlinear optimization problems in finite dimensions. Design of computational algorithms and the analysis of their properties.

Spring 2026

Thomas Goldstein

1 review
Average rating: 2.00

Spring 2025

Thomas Goldstein

1 review
Average rating: 2.00

Past Semesters

Thomas Goldstein

1 review
Average rating: 2.00

Thomas Goldstein

1 review
Average rating: 2.00

Thomas Goldstein

1 review
Average rating: 2.00

During the Spring 2020 and Spring 2021 semesters, students could choose to take some of their courses pass-fail mid-semester which skews grade data aggregated across multiple semesters.

Average GPA of 3.79 between 104 students*

CMSC764 Grade Distribution+-0510152025303540455055606570758085% of studentsABCDFWother
A-: 13.46%
A: 58.65%
A+: 10.58%
B: 7.69%
B+: 2.88%
C: 0.96%
W: 0.96%
other: 4.81%
* "W"s are considered to be 0.0 quality points. "Other" grades are not factored into GPA calculation. Grade data not guaranteed to be correct.