arctan(-x/(y-1)) / arctan(x / (y+1)) = R
(for a portion of the angularbola, due to not using atan2)
let R = n / d
d * arctan(-x/(y-1)) = n * arctan(x / (y+1))
take tan of both sides. now use trig angle sum formulas to get rational polynomials on both sides
arctan(-x/(y-1)) / arctan(x / (y+1)) = R
(for a portion of the angularbola, due to not using atan2)
let R = n / d
d * arctan(-x/(y-1)) = n * arctan(x / (y+1))
take tan of both sides. now use trig angle sum formulas to get rational polynomials on both sides
This one is dry erase and you’re only doing X’s. A little strategy in how you use the polynomials but not nearly as much depth
This one is dry erase and you’re only doing X’s. A little strategy in how you use the polynomials but not nearly as much depth
This is a teleological demon; its teeth are peerless and its eyes are manifold
This is a teleological demon; its teeth are peerless and its eyes are manifold
imo determinants could be introduced with characteristic polynomials. you could’ve already done linear algebra. Now you’d be looking at stability or something.
imo determinants could be introduced with characteristic polynomials. you could’ve already done linear algebra. Now you’d be looking at stability or something.
#WomenInSTEM #MathSky 🧮
#WomenInSTEM #MathSky 🧮
The "linear" is linear regression means "linear in the parameters".
It does not mean "can only fit straight lines", and things like polynomials and splines can be included in linear models.
online.stat.psu.edu/stat501/less...
1/2
The "linear" is linear regression means "linear in the parameters".
It does not mean "can only fit straight lines", and things like polynomials and splines can be included in linear models.
online.stat.psu.edu/stat501/less...
1/2
From: Univariate Polynomials
To: Probabilistically Checkable and Error-Tolerant Proofs
Merry Christmas to you both! x
From: Univariate Polynomials
To: Probabilistically Checkable and Error-Tolerant Proofs
Merry Christmas to you both! x
Do I hate polynomials or do I hate f32? Yes.
Do I hate polynomials or do I hate f32? Yes.
Maybe I'll stream an ML-DSA implementation tomorrow at www.twitch.tv/filosottile.
Maybe I'll stream an ML-DSA implementation tomorrow at www.twitch.tv/filosottile.
en.wikipedia.org/wiki/Classic...
en.wikipedia.org/wiki/Classic...
PyTorch parametric curves spanned by B-Splines or Legendre polynomials for KANs, Embeddings, or PDE solvers.
https://github.com/alexshtf/torchcurves
PyTorch parametric curves spanned by B-Splines or Legendre polynomials for KANs, Embeddings, or PDE solvers.
https://github.com/alexshtf/torchcurves