-
what about something like:
int bleh = h->size;
do{
bleh/=2;
if (v[j] < s[i])
{
j+=bleh;
}
else if (v[j] > s[i])
{
j-=bleh;
}
else
{
//got hit
}
}while (bleh>1);
divide and conquer s…
-
When using the linear bias model for matter ccf, we can supply the real-space CCF \xi_rr from either data or theory.
If we supply it from the data, we should make it possible to rescale the radial ve…
-
The method `covering_radius` for linear codes (in `linear_code.py`), uses optional package Guava for Gap by default.
If this package is not installed, the method crashes without a proper error mess…
-
Model linear memory using arrays
-
For implementation it looks like we could reuse sandwich covariance.
For RLM: H1 is the analog of OLS "nonrobust" covariance
I haven't figured out if H3 is HC, it has a summation term that looks simi…
-
Try using linear passthrough to train a model in dit?
`One of the key ideas is that it works as if it was like "an online passthrough", by applying a loop on a module SuperClass, that groups layers…
-
Hello, I'm supporting a customer who uses pdfkit 0.6.3 in node.js to write PDF files to disk. We then run the PDF through a pdf-to-text filter in a Java app and apply regexes to extract important met…
-
Hey everyone,
So far we've been thinking of graph theory tools as being the main tool to do a job that would give us our desired result. Like estimate a connectome, or figure out how to divide the br…
whock updated
9 years ago
-
Below is a list of resources I found useful for developing the mathematical intuition required for economic research
Additionally, I've taken the following courses at Syracuse University. Descripti…
-
Instead of permutations, one can consider learnable linear transformations (See section 3.2 of the Papamakarios review.).
As far as I understand it, in theory this could allow us to learn which condi…