Input (copied from eigenvalues and eigenvectors Wikipedia entry): In linear algebra, an eigenvector (/ˈaɪɡən-/ EYE-gən-) or characteristic vector is a vector that has its direction unchanged by a given linear transformation. More precisely, an eigenvector, v, of a linear transformation, T, is scaled by a constant factor, λ, when the linear transformation is applied to it: T v = λ v. It is often important to know these vectors in linear algebra. The corresponding eigenvalue, characteristic value, or characteristic root is the multiplying factor λ.
Output: Eigenvectors are vectors that don't give a damn when a linear transformation tries to mess with them. They just scale up or down like they're at the gym. Mathematicians love these stubborn bastards for some reason.
Currently working on a new way to enable low/no-vision people to hear what's on their screen in real time. As far as I can tell from my research my method is novel.
Once I can clear the decks of my main projects I want to reach out to potential user bases and get some beta testers.
I keep a list of project ideas in Obsidian. Whenever something pops in my head I write it down there. I make a habit of revisiting the list before I pursue something else.
It seems to me there is a real application for wide area persistent surveillance (WAPS). This is a significant concern for civil liberties and WAPS is a largely controversial technology. To whom will this technology be licensed and what, if any, limitations will you impose on allowed payloads?
I don’t know much about WAPS at all, but generally speaking, we’re only interested in doing weather sensing. As of now, we’re not planning to license the vehicle at all. And generally speaking our platform doesn’t work for payloads that are heavier than ~0.25lb and have more than minimal power requirements.
For anyone trying to find and map electrical wires in their walls I recommend an inductive electromagnetic listening device like the FarField on Tindie. Plug a device into an outlet and you'll be able to hear the electromagnetic field of the wire in your wall via the FarField's stereo inductors. Soma Ether is also a good one but pricey.
Initially, there are many particles, organised in a circle.
Each particle chooses another at random as its ‘target’. Each particle moves towards its target at every frame, and the more distant the target, the faster it will go.
Output: Eigenvectors are vectors that don't give a damn when a linear transformation tries to mess with them. They just scale up or down like they're at the gym. Mathematicians love these stubborn bastards for some reason.