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MATH 164

MATH 164

Optimization

Description: 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.

Units: 4.0

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Greta Panova

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Jing Qin

Overall Rating 2.0

Easiness 2.0/ 5

Clarity 1.0/ 5

Workload 2.0/ 5

Helpfulness 2.0/ 5

Most Helpful Review
I don't recommend this class. The material is not hard, but she is not a good teacher. Her English is sub-par, and she's unclear and disorganized. The homework can be very confusing.

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Eric Radke

Overall Rating 4.0

Easiness 3.0/ 5

Clarity 4.0/ 5

Workload 2.7/ 5

Helpfulness 3.7/ 5

Most Helpful Review
Summer 2016 - Eric is a great professor. His exams are fair, and his lectures are super clear and effective. Take him if you can!

Elizaveta Rebrova

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Palina Salanevich

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Ricardo Salazar

Overall Rating 2.0

Easiness 3.0/ 5

Clarity 3.0/ 5

Workload 4.0/ 5

Helpfulness 3.0/ 5

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William Simmons

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Rishi Sonthalia

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Chadwick Sprouse

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Arthur Szlam

Overall Rating 1.8

Easiness 1.3/ 5

Clarity 1.2/ 5

Workload 1.5/ 5

Helpfulness 2.2/ 5

Most Helpful Review
He is very unorganized in teaching. Doesn't know how to explain things AT ALL. Make easy things a lot harder. Does not even tell you which chapter he is teaching, just ask you to check the homework page number so you know which chapter you are learning. Very hard exams. Unrelated with homeworks. The worst teacher.

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