Wow I took this course last year, you covered a lot of material in such a short time. It is amazing, I hope all of the courses could be made in form of such high quality videos someday. Great work 👍👍
Im a newbie to convex opt and this video sure made things less shaky in my brains.I have a feeling in my gut telling me you are a fellow Moroccan. if so, bghit ghir ngol tbarklah 3lik et bonne continuation.
Thank you, I appreciate that! I am working on improving audio. How does it sound to you? Is it noisy? "echo-y"? or is it just that the overall quality is not great?
4:40 here's a suggestion for visualizing 4D that i came up with. Use colour scales in a 3D space. The global maximum is a specific shade of green, the global minimum is a specific shade of red and all other points are an interpolation of these colours. It's not perfect and it definitely wouldn't work well for unbounded functions but it's still useful nonetheless.
Excellent material - I've seen a few so far. Only thing I'd quibble with is that your linear regression example has a square matrix A so (obviously) it's only an optimization problem if the rank is deficient. I'm an expert in solving linear programming problems BTW
@@VisuallyExplained And (obviously) the matrix itself should be "portrait" profile to stress the overdetermined nature of the equations. If you give the simplex method a hard time Vs interior point, I might be back with more comments 🙂
Really nicely done. Sorry to come off as complicated, but could I persuade you to reupload your videos without the music in the background. I feel it is super distracting.
Do i understand you right: feasible set is the set of those x that we can pick considering our constraints, feasible region is the set of all f(x) that we can get ?
I should have made it more explicit, but for me “feasible region” is the same thing as “feasible set”, which is the set of the “x”s that we are allowed to pick. Great question!
Why did you show dogs when you said "is given by 3 ingredients"? Did you want to take advantage of some subconscious bias/psychological association that relates to forementioning things we should remember?
Optimization and business of reality and mistakes and space where mistakes aren’t really great. The task of humans and imperfections. P Value and beyond.
After Stanford's Stephen Boyd's original lecture, this is most well explained content of Convexity Optimization, Thanks for doing beautiful work!
Check out Constantine Caramanis too, he has such a firm grasp of the topic and he's really got those teaching skills
I took a class that I am not ready for and your videos have absolutely rescued me 😂
Good to hear :D
Wow I took this course last year, you covered a lot of material in such a short time. It is amazing, I hope all of the courses could be made in form of such high quality videos someday. Great work 👍👍
Great to hear, thanks!
Im a newbie to convex opt and this video sure made things less shaky in my brains.I have a feeling in my gut telling me you are a fellow Moroccan. if so, bghit ghir ngol tbarklah 3lik et bonne continuation.
Wonderful! It's great to meet a fellow moroccan in the wild ;)
deserves big applause!! very informative in the smoothest way possible.
Keep it up. But would be great if you work on audio quality as well.
Thank you, I appreciate that! I am working on improving audio. How does it sound to you? Is it noisy? "echo-y"? or is it just that the overall quality is not great?
@@VisuallyExplained I'd say both noisy and echo-y. you can notice that especially when there is an "S" sound.
waiting for more vids ;)
@@moustafarahal3396 that makes sense, thanks for the feedback!
This is such a great video on so many levels. May god bless the people who had a hand in making it 🙏🏻🙏🏻
Underrated. As is most channels of maths andscience.
Thank you so much for the video! This is a small but high-quality channel!
This is what I was always looking for! I appreciate your hard work :)
4:40 here's a suggestion for visualizing 4D that i came up with. Use colour scales in a 3D space. The global maximum is a specific shade of green, the global minimum is a specific shade of red and all other points are an interpolation of these colours. It's not perfect and it definitely wouldn't work well for unbounded functions but it's still useful nonetheless.
Hi do you have a working example in python or mathematica .. thanks
شكرا سي البشير
أستعمل فيديوهاتك في دروسي و أشجع الطلبة على متابعتها
تحية من المدرسة الوطنية للعلوم التطبيقية في طنجة
طارق الزجاري الادريسي
شكرا جزيلا استاذي العزيز !
highly highlu underrated channel and videos
got here from a reddit post :) this is so cool man!
Awesome, thank you!
This series is absolutely formidable. thank you!
Glad to hear it!
Bravo my friend, you are a star. This content is superb!
thank you so much for making this video series
Really nice videoss. Continue to amaze us. ❤️
Excellent material - I've seen a few so far. Only thing I'd quibble with is that your linear regression example has a square matrix A so (obviously) it's only an optimization problem if the rank is deficient. I'm an expert in solving linear programming problems BTW
Thank you for watching so attentively! Nice catch, b should be of size 1xm, and A should be of size nxm.
@@VisuallyExplained And (obviously) the matrix itself should be "portrait" profile to stress the overdetermined nature of the equations.
If you give the simplex method a hard time Vs interior point, I might be back with more comments 🙂
clean, suave and very informative content
Thanks Mr Majdoub, appreciate it ;)
Great explanation and animation! I wish you could do more optimization videos!
More is coming very soon, stay tuned!
Really nicely done. Sorry to come off as complicated, but could I persuade you to reupload your videos without the music in the background. I feel it is super distracting.
your video is amazing! you are a gift for learning people!
Thank you so much!
an amazing vid to understand the background from a scratch!
Nice work!
Love your content so much. Btw, the NYT article was from 1984 not 1987!
Yes! Thank you! I will add a note in the video description
What a great video! Thanks!
Thank you very much for this amazing and simple explanation
Great work, honestly. Thank you very much.
I sent this video for all my friends
This is amaizing !!!
the video and explanation is great. Please remove the background music , it becomes distracting
The intro is way too long, but the blender animations are so satisfying!
Thanks for the feedback?
Amazing explanation!!!!
I wish there was no background music, it makes it kind of hard to understand the expanations
Thank you very much for this amazing and simple explanation, can you do another one about non-convex optimization?
Great content
Love the animation ! ❤
Very nice, well done
Thank you! Cheers!
awesome video. Thank you!
Très beau travail
wonderful presentation
Thanks a lot!!
Great series! Could you tell me what tool you use for neat animations like this?
I just checked the description, and i think the answer is blender. Thanks for the great work!
Life saver😭❤️
Do i understand you right: feasible set is the set of those x that we can pick considering our constraints, feasible region is the set of all f(x) that we can get ?
I should have made it more explicit, but for me “feasible region” is the same thing as “feasible set”, which is the set of the “x”s that we are allowed to pick. Great question!
@@VisuallyExplained thanks!
Nice explanation
cool explanation😁
Thanks! 😃
Helped a lot in econ class thanks
Awesome lecture. What software did you use to create these animations?
Thanks!! I put some links in the video description
Really a great video and I appreciate it a lot, could you also remove the background music, the video will be better so much without it.
Thank you! Appreciate your feedback
Thank you!
WHAT TOOL DO YOU USE TO MAKE SUCH KIND OF VISUAL VIDEOS
excellent！！
great effort thanks
Thanks a lot!
Shapes and beyond.
Why did you show dogs when you said "is given by 3 ingredients"? Did you want to take advantage of some subconscious bias/psychological association that relates to forementioning things we should remember?
What software did you use to create the examples?
Manim, blender3d, and adobe premiere
THANKS
That "Pi" reminded me of 3Blue1Brown!
its open source now. the tool 3b1b used. kudos to 3b1b!
I thought we still didnt really understand linear programs
nice vid
thanks
Great.
"General audience" requirements: linear algebra and calculus
Optimization and business of reality and mistakes and space where mistakes aren’t really great. The task of humans and imperfections. P Value and beyond.
Sarcastically, may you never stop grinning.
Don't miss the exclusive interview with Binance's CEO for a glimpse into the future
Feasibility and beta testing and real world reactions amd conditions. Studies and beyond.
Dude you are good at explaining things I love it
But why pause after each sentence !! man you are killing me.
long intro!!
please work on these things
God bless your bloodline
Generational blessing my man, you helped ton
Amazing! saved my ass
Intersections of better sans relavatism. Quant and relativity. Human rights matter
We cannot visualize 4D 'cause we're in 3D world
鼠疫
Slopes and infinity and better human connections…
🦦
Pleitropicity and reality of bio and math…
反駁
guar
bbbbbb
反駁
bro. way too long introduction. Good video though
Why is this so complicated? Important refund information
No story telling at all. Very dry in my opinion
Thank you!