Thank you for the tutorial. Could you please give me an exemple of .m file which contains one of these algorithms (steep descent, newtons method and quasi-newton's method). Thanks in advance.
are you sure that the Newton Rapson use the second derivative... I got confused since it only uses 1 derivative when I google in wikipedia.. can you give a clarification.
You put 4 hour of lecture into a 15 min video with the same amount of information :D nice video
lots of love and support from Egypt
This is a brilliant summary. Keep it up the good work.
Thank you so much. ,Expecting more videos on this topic in detailed with theory and problems.
Excellent lecture, very brief and informative
Thank you so much for this illustration concerning the optimization techniques.
This is a good summary of line search methods
Thank you for the tutorial. Could you please give me an exemple of .m file which contains one of these algorithms (steep descent, newtons method and quasi-newton's method). Thanks in advance.
So simple so understandable. Thanks
are you sure that the Newton Rapson use the second derivative... I got confused since it only uses 1 derivative when I google in wikipedia.. can you give a clarification.
FEADith Technologies you’re right NR doesn’t use second derivative
That is because we search the zero of the derivative (ie the minimum of the function) and not the zero of the function.
right on to the point. Thanks.
Very informative. Thank you
you are a blessing!
Very collective, thanks a lot!
Thanks for the presentation.
God Bless you !
Thanks dear simple and informative
But can you count to 4?
voice is sweet!
by the way some matlab code .......
aww british accent :D cooool I like it hhaha
hi by misbah😛😛
Categorically wrong stuff in this.
What parts?