143 karma · joined October 6, 2022
I gave Python a good shot but gave up. A beautiful language but what a waste of time trying to get any simulation going.
BTW you can see some of these at the Air and Space Museum in DC, and a smaller set at the Computer Science Museum in ... Palo Alto? Mountain View? (that area)
* Stages to Saturn
* Digital Apollo
* The Apollo Guidance Computer
The last one may be too boringly technical. Some parts can be a slog even for me who breathe that stuff.
> Rich means ownership and rent-seeking.
Huh? No it doesn't.
The rest of the world is clearly tripping over each other to come here, particularly from those wonderful Marxist utopias. (Me being just one little example). Just let them whine.
Besides, I believe their landing method is to catch the booster with the mechazilla which should be quite a show.
But more seriously, what it's the status of the borrow checker?
Also what's the status of the new C array proposal?
For example, one basic model for your example could be if you are trying to measure a constant with some initial uncertainty, say it's Gaussian with a standard deviation, and noisy measurements with say also an uncertainty with Gaussian distribution and some standard deviation. You can tune the initial uncertainty (a number) around the constant you are trying to estimate , and the uncertainty in the measurements (another number than may or may not change).
In this example a Kalman filter won't behave as an average. If the measurements are good (low uncertainty) they will converge quickly, if they are bad the estimate will jump around and take longer to converge.
Anyway, I made a mess, I'm not good at explaining...
And by the way, it's not true what people are suggesting here that Kalman filters are for moving things. They are used to estimate constants _all the time_ but yes, they're more popular for moving things.