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
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3.3 / 10
- Organization
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3.3 / 10
- Time
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10-15 hrs/week
- Overall
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6.7 / 10
Reviews
Disorganized, but a nice man. He curved all of us so hard that the lowest grade received was a B-. It's a har course, though. A ton of people dropped in the first few weeks.
Showing 1 review
Course
Grading Information
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No group projects
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Attendance not required
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1 midterm
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Finals week final
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100% recommend the textbook
Previous Grades
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