Grassmann.jl VS collapseos

Here's how to do it with Grassmann.jl

Surprise announcement: the next version of Grassmann.jl has a new algebra type SimplexComplex{V,B,T} (yes, that's right SimplexComplex) which is a wrapper for Julia's native Base.Complex{T} type. This allows you to work with the performance of the base language complex numbers while retaining the Grassmann algebra interface and additional products. The new type is not limited to only regular complex numbers, it supports the creation of a SimplexComplex using any basis element B by simply taking the sum of a scalar with that basis element. ```Julia julia> using Grassmann

I still have never been able to post my paper about my Grassmann.jl geometric algebra foundations research on arxiv.

https://github.com/chakravala/Grassmann.jl

Seems like a useless overrated website.

I was able to post my article on my own website instead.

Arxiv is really a useless website.

This article is really about geometric algebra, check out my geometric algebra software https://github.com/chakravala/Grassmann.jl

https://github.com/chakravala/Grassmann.jl

In the future, geometric algebra will likely be part of everything we do, but it is still very unknown as of now.

I heart your Grassman gradient vector field representations: https://github.com/chakravala/Grassmann.jl. They, heh heh, point the way toward representing aspects of physics and math that should be used far more frequently than they are now. They display the quirks that you could never apprehend looking at an equation. Your representations could eviscerate the representations of data base on paper-like metaphors.

Sadly our leaders, the John Baez and Scott Aronson and people like that, prefer to think in Euler notation and WordPress posts. As Kurt Vonnegut said: So it goes.

The world of representation of difficult concepts using interactive 3D and elegant code is still in its infancy. You are not yet at the ground floor of the construction of a future elegant structure. You - and a few others - are in at the second basement.

Fortunately, the only way out is to look up!

Something like this is probably a lot more realistic than (as fast) "integrated circuits at home" : http://collapseos.org/

http://collapseos.org/

I know the point of it isn't to run on new hardware, but this would be a way to learn it on a stable platform without having to worry about dealing with constant problems from old hardware before trying to implement it on said.

There is something called Collapse OS I read about here on HN:

http://collapseos.org/

I myself am a collector of old devices, having raised three kids plus being a web dev. Hate throwing them away too I was just think about this today could I extract the CPUs or RAM or something to reuse rather than destory for the metals. I'd like to learn more hardware but no time.

Some hope for Colapse OS [1] perhaps?

[1] http://collapseos.org

http://collapseos.org/

Here is a quick guide to the science for those with the brain worms:

Maybe start with sufficient support for a simple OS that allows you to edit and compile programs. Something like FreeDOS or CollapseOs. Once you have that working you can extend it.

During collapse we'll all be using Dusk OS and post collapse we'll be using cobbled together rugged computers running on Collapse OS. I imagine at that point we can probably put the sub name to a vote. Maybe "r/ordinarylife".

Not Linux....but you could just install Kolibri OS for a very light desktop or consider CollapseOS and DuskOS....think Dusk should run bare metal on now and won't be too bloated, but there's always CollapseOS if you prefer to keep things light