Stanford EE364A Convex Optimization I Stephen Boyd I 2023 I Lecture 1
ฝัง
- เผยแพร่เมื่อ 10 มี.ค. 2024
- To follow along with the course, visit the course website:
web.stanford.edu/class/ee364a/
Stephen Boyd
Professor of Electrical Engineering at Stanford University
web.stanford.edu/~boyd/
Learn more about the course and how to enroll: online.stanford.edu/courses/e...
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So happy to see Professor Boyd back teaching convex optimization! His lectures 15 years ago are some of the best lectures ever! Same goes to EE263 and another courses like introduction to signals and systems back in 1999. 🎉
I didnt know he had Signals and Systems videos!! Well that's going to keep me busy for a while
A gift that keeps on giving. Thanks for making these video lectures available.
Thank you for providing such a good course. Looking forward to Convex Optimization II. Wow, he is back!!!
Can't wait to see all the lectures!
He is back!!! Amazing.
Wow, that's amazing!
he's back!
Bookmarks to myself
43:00-45:00 That's really great insight!
Beautiful
Wow what an honor!! Are you going to upload full lectures of this course?
@stanfordonline thank you so much guys for this awesome lectures. are you intending to post EE364B lectures ??
I really enjoyed the convex optimization course by Dr. Boyd. Any idea what course should I study next after this one?
Just wondering if the assignments will be added later on the website
could anyone share where I can find the the homework problems?
Do we have access to the homeworks ?
❤
The true connoisseur will note that Professor Boyd has aged 15 years in the intervening 15 years.
Is this guy the funniest professor with the most optimized humor?
Where I can find exercises with solutions for this course?
25:38
Thank you
its been YEARS
jointing country
Republic of Japan
🇯🇵🎌
I am from Germany. During Covid I started to watch lectures from the American Universities. Npw I understand why they are so highly rated. They don't do something really different, they just teach so much better than the rest of the world.
Anyone know why it’s 5000C1000 vertices?
Not sure, but try www.numericana.com/data/polyhedra.htm
Perhaps a solution to some optimization problem might occupy a vertex in a particular configuration/state of arcs defined by an evaluation of each variable in some state.
52:45😂
看
I tried to learn this subject well from books by nesterov and it was so boring. Videos might be easier
why are others hidden?
Hi there, the remaining lectures will be released as they are available and all of them will be added by the end of March 2024.
@@stanfordonline Thank you!
@@stanfordonline please don't leave us hanging.
@@stanfordonlinecan you put them into a playlist please
@@stanfordonlinewhy the video quality not available
He's definitely got 10 yr.
Bruh... Am I the only one who's not getting the video quality properly?
It is Full HD in my side so you might want to check your Internet connection.
Thanks bro
where is the homework pls