Optimization

Lecture, three hours; discussion, one hour. Enforced requisites: courses 115A, 131A. Not open for credit to students with credit for former Electrical Engineering 136. Fundamentals of optimization. Linear programming: basic solutions, simplex method, duality theory. Unconstrained optimization, Newton method for minimization. Nonlinear programming, optimality conditions for constrained problems. Additional topics from linear and nonlinear programming. P/NP or letter grading.

Review Summary

Clarity
5.0 / 10
Organization
5.0 / 10
Time
5-10 hrs/week
Overall
3.3 / 10

Reviews

    Quarter Taken: Fall 2022 In-Person
    Grade: A

    Not a great teacher. Too unorganized. If you study the textbook you should be fine.

    Quarter Taken: Winter 2023 In-Person
    Grade: N/A

    This professor puts in the least possible work. There is very little help in terms of resources to learn material and grace with homework.

Course

Instructor
Melissa Tong
Previously taught
23S 23W 22F

Grading Information

  • No group projects

  • Attendance not required

  • 1 midterm

  • Finals week final

  • 100% recommend the textbook

Previous Grades

Grade distributions not available.