# Category Archives: coding theory

## Evidence of Washoe school district trumpist staff racism

Spanish springs. Just sad. As in trump sad. But very very American.

## Candy Crush’s Acquisition And What It Means For Mobile Gaming Companies — Mahesh VC

## Trump says he has no ‘tapes’ of Comey conversations – The Washington Post

Which makes no statement about whether someone else does. It’s like me sayin there are no tapes of my phone and I made none knowing full well NSA tapes everything on my phone and died the taping). But “i” don’t … Continue reading

## http://www.latimes.com/business/technology/la-fi-tn-la-tech-20170221-story.html

## http://www.latimes.com/business/technology/la-fi-tn-la-tech-20170221-story.html

## Fanciful des

Periods doubling due to non linear feedback is standard fare. But now advance you thinking and view the non linear component of des (and any feistel cipher) as composing two digital streams to create a non linear mathematical medium , … Continue reading

## Trump and Comey are no Henry and Becket (opinion) – CNN.com

Who are the four knights in America? Nsa head – Henry’s spymaster (domestic and foreign) Cia head – Henry’s assassin and torturer Fbi – Henry’s secret police (for nobles) Irs – Henry tax collector Given Washington’s intentional creation of a … Continue reading

## Beware family first chiropractors

For a high end brand, doing excellent chiropractic care, its sad. Sad as in scientology sad. Don’t be duped on the corporate practices in (non insurance) billing. It was interesting how for six weeks folks lied (badly for the most … Continue reading

## Fischer info

I’m not the likeliest fool doing crypto. But when you goto a uni whose cs dept (of which you are a member) is part of a distinguished stats dept, and half the fathers of your co-stufents work at gchq (or … Continue reading

## Likelihood, frequency and information

Turing understood the critical differences between the terms in the title. And he understood their differences relevance to the design of cryptanalysis methods. We already saw how in affine combination spaces one can calculate likelihood functions in terms of log … Continue reading

## Quaternion group’s simple representations as combinations of pairs of bits

I’ve never understood, till now, the cryptographic significance of Turing (in his on permutations paper) of introducing the non ablelian quaternion group. If u look at the four 1 dimensional representations of the quaternion groups, one has all four combinations … Continue reading

## Hermitian vs quadratic forms

I’ve now understood more of turings design, in his on permutations paper. It’s common to use Q as the letter for positive definite forms. And one then uses it to average over the group. There are many Q, since the … Continue reading

## How the Simplex is a Vector Space | The n-Category Café

https://golem.ph.utexas.edu/category/2016/06/how_the_simplex_is_a_vector_sp.html Nice easy thinking about relating vector spaces to the probability simplex. Same as McCullough but easier!

## Calculating Nonlinearity of Boolean Functions with Walsh-Hadamard Transform – B-sides

http://konukoii.com/blog/2016/06/30/calculating-nonlinearity-of-boolean-functions-with-walsh-hadamard-transform/ Even simpler presentation

## http://www.tcs.hut.fi/Studies/T-79.5501/2007SPR/lectures/boolean.pdf

Wish I’d known this before reading the tunny report. At the same time, it’s fascinating to see how folks in 1940 arrived at the same theory The rest of the series looks just as interesting.

## http://faculty.luther.edu/~macdonal/GA&GC.pdf

Why do physicists despise Clifford algebra? Because it opens their field to a hundred million open minded computer science students, eager to unify. Put Clifford algebra into the heart of year two cs math, its game over.

## Clifford Algebra: A visual introduction – slehar

https://www.google.com/amp/s/slehar.wordpress.com/2014/03/18/clifford-algebra-a-visual-introduction/amp/ Sunday reading. So well written

## simplex geometry

http://www.umsl.edu/~fraundorfp/ifzx/simplexGeometry.html How I’ve been thinking of the fano plane

## http://www.math.vt.edu/people/brown/doc/731.pdf

Wish there were more papers written like this!

## http://www.dhcs.ca.gov/services/ccs/cmsnet/Documents/thiscomputes155.pdf

Second opinion rules ;in ca) nv won’t be much different

## http://www1.spms.ntu.edu.sg/~frederique/lecture9ws.pdf

Page 14 is almost exact Turing Now we know why!