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
This guy is a major a**hole, he's definitely not concerned with his students. He won't let you re-take the midterm even if you have a valid medical reason. He also refuses to weigh the grading policy fairly. Good professor to take if you know your stuff and do all the homework and go to all the quizzes and have no medical problems. He goes way too fast in class but I've heard he's helpful during office hours. But if you have medical issues, don't expect this jerk to accommodate you in any way shape or form.
This guy is a major a**hole, he's definitely not concerned with his students. He won't let you re-take the midterm even if you have a valid medical reason. He also refuses to weigh the grading policy fairly. Good professor to take if you know your stuff and do all the homework and go to all the quizzes and have no medical problems. He goes way too fast in class but I've heard he's helpful during office hours. But if you have medical issues, don't expect this jerk to accommodate you in any way shape or form.
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