Lecture for the course Statistical Physics (Master on Plasma Physics and Nuclear Fusion). Universidad Complutense de Madrid. Course webpage: seneca.fis.ucm.es/parr/sp
Пікірлер: 21
@stathius2 жыл бұрын
I've searched a lot for good SDE tutorials. This was the best video series by far. Nothing, and I mean nothing, is taken for granted. Everything is rigorously explained and even if I didn't get something there was a concrete reference to go look at and then easily jump back. Enhorabuena profesor y muchisimas gracias!
@albertalbesagonzalez93862 жыл бұрын
Very nicely explained, I very much liked the balance between intuition and formality.
@Seastric3 жыл бұрын
Thank you very much juan. Do you have any notes available for the public . Thank you in advance.
@user-wc7em8kf9d Жыл бұрын
Muchísimas gracias Profesor.
@angeloqwequ-boateng46862 жыл бұрын
This was very helpful, Juan
@julesdominik47444 жыл бұрын
great video thanks!
@leonardocabrera92532 жыл бұрын
Gracias Juan
@leonardocabrera92532 жыл бұрын
Loved it
@santosreckz72032 жыл бұрын
Hello SIr i am completely new to all of this, what basic knowledge do i need to understand stochastic differential equations or on this video is this the basic knowledge i need to know. i hope what is said makes sense?
@juanmrparrondo13752 жыл бұрын
I think you can follow it if you know differential calculus, a bit of differential equations, and basic probability (gaussian variables, central limit theorem, average, independent random variables)
@Happylife-en3se2 жыл бұрын
thank you. please what is the programme that you use in these video (writing in table)
@juanmrparrondo13752 жыл бұрын
Hi. It is doceri: doceri.com/. It's a great app for the ipad. You can record the writing and play it in the class at the speed that you wish.
@Happylife-en3se2 жыл бұрын
@@juanmrparrondo1375 muchos gracias
@rahulbansal26992 жыл бұрын
Sir Please tell me the basic books for stochastic differential equation and stochastic fractional differential equations please sir🙏
@juanmrparrondo13752 жыл бұрын
This is a good one specially if you are interested in simulations (but ok for theory as well): www.amazon.es/Stochastic-Numerical-Methods-Introduction-Scientists/dp/3527411496
@Bbdu75yg10 ай бұрын
👍 Thanks
@awerawer0708 Жыл бұрын
I'm not sure what I'm misunderstanding at 35:00, the expectation of w(t) is 0 b/c w(t) ~ N(0, σ*root(t)), shouldn't the expectation of w(t)^2 = Var(W) which equals σ*root(t)? rather than σ^2*t
@juanmrparrondo1375 Жыл бұрын
I use the notation N(mu,sigma) to indicate a gaussian random variable with average mu and dispersion sigma (=> variance=sigma^2). I've just learned that the standard notation is N(mu,sigma^2). Sorry for the confusion! The Wiener process at time t is a gaussian variable with zero average and dispersion sigma*sqrt(t) => variance = sigma^2*t
@awerawer0708 Жыл бұрын
@@juanmrparrondo1375 ah thank you so much Professor, this video helped me greatly
@avadavies13362 жыл бұрын
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