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
Units: 4.0
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Most Helpful Review
Summer 2023 - Horrible class. By far the worst class Ive ever taken anywhere * Ridiculous amount of hw, totally unrelated to lecture content * Disorganized, unclear lectures. Difficult to know what section we are on * Unreasonably fast-paced * Indecipherable handwriting (not his fault but accent tbh) Don't be fooled by his fake reviews lol, you dont need to be sherlock holmes to decipher which ones are fabricated. Pathetic behavior if you ask me--just screams a fragile ego. Honestly I have no idea how this guy is employed by UCLA. He gives off a good facade of a caring prof but this class has caused me so much unnecessary stress. Avoid at all costs
Summer 2023 - Horrible class. By far the worst class Ive ever taken anywhere * Ridiculous amount of hw, totally unrelated to lecture content * Disorganized, unclear lectures. Difficult to know what section we are on * Unreasonably fast-paced * Indecipherable handwriting (not his fault but accent tbh) Don't be fooled by his fake reviews lol, you dont need to be sherlock holmes to decipher which ones are fabricated. Pathetic behavior if you ask me--just screams a fragile ego. Honestly I have no idea how this guy is employed by UCLA. He gives off a good facade of a caring prof but this class has caused me so much unnecessary stress. Avoid at all costs
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