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May
13
comment principal components of mutual covariance marix
Yes, I know SVD, my question is if it still works (either with SVD or with eingenvalue decompostion ) even in case when the cross correlation matrix is not self adjoint ( which I guess is not when $X$ and $Y$ are arbitrary matrixes ), so I guess it is also not necesarlily positive definite. But maybe there is some way how to make it positive definite and still capture the information about correlations like using SVD of $ M^T M $ instead of $M$ ??
May
12
asked principal components of mutual covariance marix
Apr
25
accepted Time dependence of velocity from position dependece of velocity
Apr
25
awarded  Supporter
Apr
25
comment Time dependence of velocity from position dependece of velocity
it could be perhaps simlified to $v(y) = \sqrt{ {C_2}*y^{C_3} - C_1 } $ by substiturion of $y = x + some const$
Apr
25
comment Time dependence of velocity from position dependece of velocity
aha, OK the actual function I have is a bit more complex $v(x) = \sqrt{ {C_1}( ( (x/{C_2}+1)^{C_3} - 1 } $ which is very hard to integrate analytically Is this approch applicable for If I integrate $v(x)$ numerically
Apr
25
comment Time dependence of velocity from position dependece of velocity
let's say $v(x) = x^2 + x $ how to integrate $\frac{dx(t)}{dt} = v(x) = x^2 + x$ ?
Apr
25
asked Time dependence of velocity from position dependece of velocity
Feb
10
awarded  Tumbleweed
Feb
3
asked Derivative using in FFT on rhombic grid
May
6
awarded  Scholar
May
6
accepted Ellipses given focus and two points
Apr
12
revised Zoo of sigmoid integrals (computational convenience)
deleted 2 characters in body
Apr
12
awarded  Editor
Apr
12
revised Zoo of sigmoid integrals (computational convenience)
added 18 characters in body
Apr
12
asked Zoo of sigmoid integrals (computational convenience)
Feb
15
answered In what cases is SOR method faster than Jacobi and Gauss-seidel
Oct
31
awarded  Student
Oct
31
asked Ellipses given focus and two points