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Thanks for this great tutorial.

Thank you so much this was very clear and helpful

Great, well done, many thanks!

Very Interesting, can I get the code for traveling salesman problem.

Thanks for sharing this video, I have problem the during the importing the geometry, maybe there is a problem. Can you check the link is still working or not?

Awesome video, thank you so much. Sometimes I see derivations where there is some pressure component, at this time I had to go over the derivation a bit quickly, but if anyone can shed some light on the -P*delta_ij that I have seen in some forms of the stress tensor please let me know.

I'm interesting about this. May i have ur email. Ee can discuss about it . Can yiu help me about my research. Thanks before

How might this algorithm change when the evaluation of f(x) is noisy? In that you can estimate the value at any given step but not know it exactly. More practically, if this situation presents itself is there a clear way to solve this sleekly in python with something simple like scipy? Thanks for the informative video!

Great video! Dr. Ning has always been a master teacher. Are there any rules of thumb for initial edge length on the simplex?

Hey, you keep mentioning a book. What book is it exactly ? I can’t see any links in the description.

Good Job

You have the lift and drag axes swapped in your discussions around 5:30 on

Great explanation, I finally understand the backtracking line search method.

Hi, I'd like to ask, at 15:46, why is my auto mesh (2D) parts option empty inside

I am confused because the Rot region has 2 million more cells than the video, despite having the same parameters.

Great video and great help!!! I just did as same as your video, but the thrust and torque is different with yours. If possible, can i get your sim file...? and there isn't information fluid conditions like Temperature, Pressure, viscousity.. etc. I need help please..

Hello, : import Pkg Pkg.add("NLPModels") pkg.add("NLPModelsIpopt") using NLPModels using NLPModelsIpopt myobj(x) = (1 - x[1]^2) + 100 * (x[2]-x[1]^2)^2 x0 =[1.3, 0.5] Model = ADNLPModel(myobj, x0) .... did not work, and i think there changes by git hut, it is not look similiar like you use. but tthanks, it was very good to hear :)

amazing video

what do u think the other more better methods would be ?

Thanks for making this.

'Promo SM'

Thank you! Waiting to another awsome video :)

Excellent tutorial. The progression through the various topics is carefully graduated, the examples are helpful, and the explanations are clear. Thank you for sharing.

what if i want to plot the contour in a range (-5 to 5) aligning with the colorbar. will that be okay to put level -5 to 5?

Very interesting video. It is like the Chain Rule, attempting to find the derivative in a composition of functions. Thank you so much !!!!!!

great explanation

How does this math relate to the physical design of the aircraft? Can you make a video about how to design an aircraft for dynamic stability? Thanks

Super helpful video, can you do a quick video on your VSCode shortcuts / design / tricks for Julia?

❤❤

Thank a lot! Waiting to another awesome Julia tutorial

It hard to follow because many many people are deprieved of thier livelihood ......... Previously guys understood so much that the entire city was commuting back and forth for culturals for industrial trips for casual visits for preview primieir and after amassing wealth in one slot others were asked work in shifts for stalls and recreation and many activities ..... why ....always they can conduct anything and everything without peers Gentlemen peer reviwed yet certificates are missing ........ where do i post my complaints Faculty grievances

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Sea level thrust is acting in the upward direction Barometric pressure is acting in the downward direction Temperature fluctuations due to radiation of sun Many temples do not have acess in all the directions probably you might have seen temples without windows and doors on the backyard Many temples are built on sea shores and generally having only one acess to the temple In any case the doors were open it will suck all the sea water flooding the temples and eventually flood during monsoon ..... If the sea water swells into tunnels you need too much of energy to expell the saline water and the thrust is more as sea water is denser than streams ...........this could cause not only flash floods but also pooling of water which may endanger people living on the rear of thrust side ...... It appears as though it is raining eventhough there is no rain but along the coastline tunneling is frequent for towing and anchoring boats day sailor day sailor day sailor

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Direction: E , S , E ; /a;

Plot: s-plane; /a;

HTML : s

It is clear that a4 is arbitrary s: dim(w1 U w2) = n £(52)

Failure modes of structure Mooring and offshore structures Steel braces Bucking failures ? Torsional shear

Thank you so much !!!!!

My father worked with Amo Smith and John Hess as they developed their compter program using this method at Douglass Aircraft in 1960. My father did a study of ducted fans. He was the first to apply the program to a real world study.

thank you

thank you!

Thank you, happy that YT forward me to your channel! Very useful software

You mis-speak several times in this video. For example: At time 16:21, you say "If there is no gravity, It should just make it back up " I suspect you mean there is no friction or drag. .. Then when you DO mention friction, you trace the same no friction curve. Poor. .. Your hand-drawn chord line at t=19:40 is pretty far off. ..

Hi, Very nice tutorial indeed. Just a question, when I follow your steps, it will give a final result after 3600 iterations, but it looks like steady simulation. How can I extract the timestep results and create animation for each 3 degree variation? thank you!

are you using sublime text for julia? How do we setup the build system for it in sublime text?

Very good and informative tutorial. I had a few queries please.. 1. Is there no requirement of identifying a time step that satisfies the CFL stability criterion rather than fixing the time step only based on number of steps desired per revolution? 2. Can we use a field function approach for implicit unsteady simulations to undertake the simulations over a range of advance coefficients in a single run rather than running at each advance coefficient desired in different runs? 3. Is there no requirement of specifying prism layers in the propeller boundary layer based on the target y+ parameters? Thanks in advance :)

It's clear, thanks for this.