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Chalnoth said:When you do a Fourier transform on data, you're now in Fourier space, where instead of the array elements representing positions, they now represent frequency. Do an inverse Fourier transform, and you're back to real space.
K.I.L.E.R said:So I convert a problem to fourier, then accomplish what I need to and then convert it back into real space?
RussSchultz said:My experience with simulating water was a very simple kernel done in 'real' space, not frequency. It perhaps is not completely accurate, but is good enough.
http://freespace.virgin.net/hugo.elias/graphics/x_water.htm has a reasonable discussion of that (its where I cribbed my code from)
Yes. The advantage of converting to Fourier space is that linear differential equations become ordinary equations (the derivatives evaluate trivially).K.I.L.E.R said:So I convert a problem to fourier, then accomplish what I need to and then convert it back into real space?
Chalnoth said:Yes. The advantage of converting to Fourier space is that linear differential equations become ordinary equations (the derivatives evaluate trivially).
Chalnoth said:Analytically, you mean
Any differential equation is solvable numerically.
K.I.L.E.R said:Can you guys show me a practical example?
I am going to learn this stuff one way or another.
In my course I'm specialising in maths + programming.
Sure, take an LRC circuit.K.I.L.E.R said:Can you guys show me a practical example?
Ingenu said:... using Navier Strokes Equations (simplified).
K.I.L.E.R said:So basically this will allow you to construct ANY formula you need simply based on any number of variables?
What about 3+ order equations?
WhiningKhan said:Well...How about you sign up on a maths class on Fourier methods? Pretty much every university with maths department runs such classes. No offense, but you don't really strike to me as a fellow who would grasp the whole issue from BBS postings anyway (being the self-proclaimed "Retarded Moron" and all)...