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Partial Differential Equations
Приєднався 12 жов 2014
Відео
Lindstedt Poincare Method for the Duffing Equation
Переглядів 13 тис.9 років тому
MA342: Asymptotic Methods in Mechanics
Heat Equation: Solution using Fourier transforms
Переглядів 51 тис.9 років тому
Heat Equation: Solution using Fourier transforms
Wave equation: Deriving Duhamel's Equation
Переглядів 15 тис.9 років тому
Wave equation: Deriving Duhamel's Equation
Wave equation: Deriving d'Alembert's Equation
Переглядів 15 тис.9 років тому
Wave equation: Deriving d'Alembert's Equation
Method of Characteristics 3: The general case
Переглядів 37 тис.9 років тому
Method of Characteristics 3: The general case
Method of Characteristics 2: Variable Coefficients
Переглядів 19 тис.9 років тому
Method of Characteristics 2: Variable Coefficients
Method of Characteristics 1: Constant Coefficients
Переглядів 25 тис.9 років тому
Method of Characteristics 1: Constant Coefficients
I'm lovinggg theseee!!!
Wow
find so difficult to understand how you get c(x) and the integration of each colorful terms
What is the plotting software? Thanks!
so Duhamel's principle consists in translating the original problem into a situation in which the external force begins to act at the beginning of the passage of time?
thanks a lot🎉
This is so interesting video, that helps me to do my assignment
thank you sir
These are really great thanks
Your video is very clearly explained ! I've understood the main principe of FT for PDE'S thank you so much !
Very nice visualization with excellent explanations! Thank you.
Very well done! Thank you!
The best course
Huge Thanks for such an amazing and insightful explanation. 100/100
Awesome 👍
Awesome video! Thank you!
Seen several videos on pde equations. This one is supurb!
great expalin
why do these things never give a simple flow chart of how to do I can't remember any of what you just showed and subsequently dotn remember any of tit waste of my 14 mins trying to watch it you showing of some differentiation. not useful for me in my engineering need of the regression for some stats. and specifically how do if ind b2? what more do I need to do ?
At 7:34, I would recommend using the root method and the method of underdetermined coefficients instead. This lets you avoid doing all the annoying integration by parts.
make a video. im sure people appreciate that
@@raba2d723 I already did make a couple of videos about this. Here they are... ua-cam.com/video/aX8KDpI-q2A/v-deo.html, ua-cam.com/video/sM6YvEUiTp4/v-deo.html
Thank you :)
Nice job. Clear, to the point and well supported with appropriate illustrations.
Very good example
THIS IS WRONG!!! You can't subtract G'(x) and F'(x) and their counterparts because they are both differentiated w.r.t different variables and this changes the coordinates which in turn result in the equation becoming variant instead of a homogeneous constant eqn.
It all makes sense now!!
you did the job my professor didn't, thank you
thanks! :) absolutely clear as always
you're the best, thank you! :)
You are amazing! Keep going!
Thank you sir ....
Thank you sir....
thank you so much!!
Thank you so much for this sir! Subbed!
How about the 2nd-order ones? I know that at least the wave equation can be solved with characteristics.
i cannot solve the question. can u help me please? Given the linear equation: Ux-Uy=0 with the initial conditions: x(0,s)=0, y(0,s)=s, u(0,s)=g(s) where g(s) is an arbitrary differentiable function. a) Write the Characterist equations: a(x,y,u)Ux+b(x,y,u)Uy=c(x,y,u) dx = a(x,y,u) (1) dy = b(x,y,u) (2) du = c(x,y,u) (3) dt dt dt b) Integrate equations (1-2), use the initial conditions and determine x and y interms of the parameters t and s, then inverting these, write t and s interms of x and y. c) Integrate equations (3), use the initial conditions and determine u interms of t and s and then write u interms of x and y:u(x,y)
Extremely helpful...Thank u sir....U r a brilliant teacher 🙏
Well done!But how to visualize it?
How come this contradicts special relativity , with these coordinate transformations the wave equation doesn’t remain invariant
very clear and nice explanation. Thank you for sharing.
thank you
This is the first PDE video I saw that uses visual representation of the curves and planes. Great work!
I've got a test in 10 hours and I'm gonna pass it because of you
Excellent video! My textbook didn't explain this derivation as clearly. In the video, we set out to find the critical points that would allow us to then find local min, local max, and saddle points. How do we intuitively know that the simultaneous equations that we've found and solved lead to a minimum? Is it because we logically know that there is no maximum for SSE, i.e. the squared sum of residuals has no bound, so the solution we found must be a minimum? Therefore, there's no need to test the critical points? How do we rule out a saddle point?
How can we obtain intercept and slope of B0 and B1 after shifting line l to l'. Do you have any book to suggest to solve such problem and can you help please with kind suggestions
excellent
PLEASE TURN ON THE SUB, I NOT GOOD IN ENGLISH !
Thank you man! Hope you will continue with these videos and grow your channel
For anyone confused, the last result on the page at 11:11 should read -1/5 outside the brackets rather than 1/5.
excelent work, short and complete
Thanks for the video! You really save my ass