AM 230

Numerical Optimiz

5credits
About this course

Introduces numerical optimization tools widely used in engineering, science, and economics. Topics include: line-search and trust-region methods for unconstrained optimization, fundamental theory of constrained optimization, simplex and interior-point methods for linear programming, and computational algorithms for nonlinear programming. (Formerly AMS 230.)

All available terms

3 terms

Avg. GPA
3.76
Grades
68

Other grades

S39.7%
More course details

University of California, Santa Cruz

AM 230 at UCSC: average GPA 3.76 across 68 students. Grade distribution by term. Introduces numerical optimization tools widely used in engineering, science…

Average GPA: 3.76

Grade distribution records: 68 students across 3 terms.

Grade distribution

GradeStudentsPercent
A2333.8%
A-1319.1%
B+34.4%
C22.9%
S2739.7%

Based on 68 student grade records across 3 terms and 1 professor.

Instructors

  • Qi Gong 68 students, Average GPA 3.76

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