In case it is helpful, all my Optimization videos in a single playlist are located at ru-vid.com/group/PLxdnSsBqCrrHo2EYb_sMctU959D-iPybT. You can support this channel via Patreon at www.patreon.com/christopherwlum. Please let me know what you think in the comments. Thanks for watching!
AE 501 I love it when you use humor in your videos when teaching your topics (not just in this video). It makes it more memorable, especially when the videos get an hour+ in length. 33:18 The comment about the dwarf in snow white got a genuine laugh out of me.
This the best video I have seen about an introduction to optimzation !! Clear and concise !! Now I can peacefully explain this to someone who is in need !!
Hi Bharath, Thanks for the kind words, I'm glad you enjoyed the video. If the find the these videos to be helpful, I hope you'll consider supporting the channel via Patreon at www.patreon.com/christopherwlum. Given your interest in this topic, I'd love to have you a as a Patron as I'm able to talk/interact personally with all Patrons. Thanks for watching! -Chris
Zafer, I have several other videos in the series on the playlist already. I hope to have the next video on unconstrained optimization out next Monday, I hope to see you there, thanks for watching!
AE501: This is the first time I am learning about optimization, so I was a little lost in the beginning, but the Seattle commute example really helped me conceptualize the goal of optimization (so did the example with the star of the video, Gus). Thanks for the lecture!
AE 501 - Helpful intro to optimization. Like you said basically my entire engineering job involves optimizing solutions so I'm interested to see where this leads us over the last week of the quarter.
AE501: This is a great introduction to the concepts and nomenclature. We may need a longer video for Gus to reveal his cost function..It's interesting to think about how the risk and lack of data might be handled in an open loop system
Hi Zain, Thanks for the kind words, I'm glad you enjoyed the video. If you find these videos helpful, I hope you'll consider supporting the channel via Patreon at www.patreon.com/christopherwlum or via the 'Thanks' button underneath the video. Given your interest in this topic, I'd love to have you a as a Patron as I'm able to talk/interact personally with all Patrons. I can also answer any questions, provide code, notes, downloads, etc. on Patreon. Thanks for watching! -Chris
Hari, Thanks for reaching out. If you have questions or would like to request a video, please consider supporting the channel via Patreon at www.patreon.com/christopherwlum. I interact personally with Patrons at all levels. Thanks for watching!
Thank you so much for the videos and amazing explanation, I am making a goal to buy a tee from your shop once i finish this playlist as a reward to myself
Great work on explaining these concepts of optimization! In addition, will you address the scope of optimization (basically differences between local optimization and global optimization) in a future video?
AE501 (Elizabeth Sampley): Professor Lum, thank you for this awesome series of videos! Not to derail, but I especially like the relation to philosophy in this video and your demonstration here. Framing these problems in terms of the human experience makes everything much more interesting, and with that I am going to drop some nice quotes: "But the will is so free in its nature, that it can never be constrained" - Rene Descartes, The Passions of the Soul (1649)
Other quote: "...even if man really were nothing but a piano key, even if this were proved to him by natural science and mathematics, even then he would not become reasonable, but would purposely do something perverse out of simple ingratitude, simply to gain his point." - Fyodor Dostoyevsky, Notes from the Underground (1864)
Dear Professor Lum good to see you again,after a long time,One kind suggestion please inclucde "MATLAB - based tutorial more" also,very excited to see some "Trajectory tracking based control design with MATLAB tutorial (by trajectory tracking i mean to follow some custom based trajectory (and importantly how we make trajectory from way-point concept and repeat them over the whole simation time) I hope i have put my query correctly.. Best wishes Thank you
Thanks for reaching out. If you have questions or would like to request a video, please consider supporting the channel via Patreon at www.patreon.com/christopherwlum. I interact personally with Patrons at all levels. Thanks for watching!
Hi, Thanks for the kind words, I'm glad you enjoyed the video. If you find these videos helpful, I hope you'll consider supporting the channel via Patreon at www.patreon.com/christopherwlum or via the 'Thanks' button underneath the video. Given your interest in this topic, I'd love to have you a as a Patron as I'm able to talk/interact personally with all Patrons. Thanks for watching! -Chris
AE501: 5:10 As a fellow dog owner, this made me laugh! I know for sure my dog would be going for the pizza straight away, her brain must be optimized to go for pizza 100% of the time! But overall great video, as someone who wishes to go down the controls path in the future optimization is a huge concept in control theory and something definitely that interests me. Thanks!
AE 501 Thanks for the video professor, I can tell a lot of thought and effort when into it. Some feedback I have is maybe the video could have been shorter or more concise (in my opinion, the topic was not too difficult to understand). However, I understand that this is an introduction video and it's important to make sure everyone has a solid base to build on for future and more complex topics. Anyways, great video again, and just giving my opinion because I believe you appreciate feedback.
Edward, thanks for the valuable feedback. Yes, I do indeed welcome any pointers about how to make future videos better and your advice has been noted, thanks for taking the time to write it down.
Have I missed something? He draws the constraint x1≤0.75 on the 1.75 x ? Also, why is the x2 constraint on the ordinate ? Isn't it supposed to be on the abscissa or described as the y constraint? Otherwise , well done presentation on the math optimization. Optimization is subjective. That is very important to understand from this .
