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Hello Professor Andrew Ning, thank you so much for sharing this great lecture series. I have a Telecom/EE/CS background in terms of my profession, but somehow developed a passion for aeronautics/fluid mechanics at a late stage of life. This lecture series is truly being helpful. Quick question. It seems that some of the lectures (e.g., those covering compressible aerodynamics, and probably some more on CFD) may be missing at this site? If so, is there any place where I can find them? Thank you again. 🙏

Excellent. Concise, complete and brief. One could construct a functional Hess/Smith code from this video alone (except the matrix solver, of course). Thank you.

Hello! I am trying to self-study aerodynamics, and i found your excellent videos! I really learn a lot from you, so thank you so much! 🙂 In your videos, you mention something like "in the texts"... i was wondering which book(s) you are referring to? Which books would you recommend? Thank you in advance!!

Hello! I don't quite understand. Is the torque Q here the torque applied by the propeller to the air or the torque applied by the air to the propeller? And is Ω the angular velocity of the free air or the angular velocity of the propeller's rotation? And why is it Ωr-v here, while the axial part is V∞+u? One is a plus sign and the other is a minus sign?

Very nice.Thank you.

Great derivation of the stress-strain rate tensor with full details. Thanks a lot!!!

Is there a way to install pyoptsparse using pip instead of conda?

Very good illustration and easy to understand. thanks

How can i know the twist angle?

How do we get from T=2a(1+a) ho\V_inf^2A_d to T ' = 4a(1+a) ho\V_inf^2 pi r

Thank you so much for this video!

Comment to boost on the algorithm plus THANKS!

Hi, in your equation shown at 18:30, what do the variables r_1x and r_2x mean?

very helpful. thanks so much for this. 'GradObj','on', and 'GradConstr','on' should be use to replace "SpecifyObjectiveGradient", true, and 'SpecifyConstraintGradient', true. in addtion, MaxFunctionEvaluations', le5 is not recognized. I simply remove it.

Much better explanation and presentation than my professor.

Crisp explanations with great insights. Loved watching this!

Delbert Harbors

Susie Trafficway

Correction alert :- Cn = Cdsin(phi) - Clcos(phi) & Ct = -Clsin(phi) - Cdcos(phi)

Sandrine Point

I've been stuck for almost two hours until I found your video Thank you so much!

Great video! What is the title of the text book?

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