Lecture 16 | Convex Optimization II (Stanford)

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  • เผยแพร่เมื่อ 18 ธ.ค. 2024

ความคิดเห็น • 6

  • @KhoaTran
    @KhoaTran 12 ปีที่แล้ว +1

    I looked at the course website and the prerequisite states that it's actually an undergrad course. The systems mentioned in here are mostly linear and therefore it seems reasonable for the level. However, I do think that school like Stanford or MIT do go above the average quite much! I just wish that I had the same learning opportunities back then :). Thanks Stanford for the free course!

  • @TheMicroDude
    @TheMicroDude 12 ปีที่แล้ว +2

    Typically at a Masters degree level. Undergrad typically only covers linear systems with tools of differential calculus, and hence the highest you go is PID controllers. This was my experience after graduating in 2006, maybe things have evolved...

  • @julianocamargo6674
    @julianocamargo6674 4 ปีที่แล้ว

    Maybe I have a 1969 mentality, but to find a QP solver to run on embedded architectures does not seem like a trivial task to me. Apparently there are some companies filling that space and Boyd is even associated with OSQP, a tool used to generate the C code.

  • @KhoaTran
    @KhoaTran 12 ปีที่แล้ว +1

    The use of optimization for control engineering. May I asked if this is delivered at Master or Undergrad level?

    • @konstantinburlachenko2843
      @konstantinburlachenko2843 7 ปีที่แล้ว +1

      I think that most classes at Stanford with index 3** is mater degree level. With 1** is undegrad level. And 2** in somewhere between.

  • @oshkosh79
    @oshkosh79 6 ปีที่แล้ว +1

    Prof. Boyd hates 1969