Gospel of Matthew 4:4:
Man shall not live by bread alone, but by every word that proceeds out of the mouth of God
Ciro Santilli's mother loves that one. Even though she was constantly worried that if Ciro had studied physics he would be poor and starve, a factor which led him to study engineering instead, one of the greatest mistakes of his life. don't be a pussy.
where:
- is the electromagnetic tensor
Note that this is the sum of the:Note that the relationship between and is not explicit. However, if we knew what type of particle we were talking about, e.g. electron, then the knowledge of psi would also give the charge distribution and therefore
- Dirac Lagrangian, which only describes the "inertia of bodies" part of the equation
- the electromagnetic interaction term , which describes term describes forces
As mentioned at the beginning of Quantum Field Theory lecture notes by David Tong (2007):
- by "Lagrangian" we mean Lagrangian density
- the generalized coordinates of the Lagrangian are fields
TODO understand.
Force carrier of quantum chromodynamics, like the photon is the force carrier of quantum electrodynamics.
One big difference is that it carrier itself color charge.
Based on the fact that we don't have a P algorithm for the discrete logarithm of the cyclic group as of 2020, but we do have an efficient algorithm for modular exponentiation. But nor do we have proof that one does not exist! Living on the edge as usual for public-key cryptography.
The weird one, not directly coded in the genetic code.
PNG reference implementation. Ahh, if feels good to have a dominating open source reference implementation.
It does a huge percentage of what you want easily, and from the language that you want to use.
Tends to be Ciro's pick if gnuplot can't handle the use case, or if the project is really really serious.
Couldn't handle exploration of large datasets though: Survey of open source interactive plotting software with a 10 million point scatter plot benchmark by Ciro Santilli
Examples:
- matplotlib/hello.py
- matplotlib/educational2d.py
- matplotlib/axis.py
- matplotlib/label.py
- Line style
- Subplots
- matplotlib/two_lines.py
- Data from files
- Specialized
Tested on Python 3.10.4, Ubuntu 22.04.
This looks a lot like the beans that Brazilians venerate and can be easily found in the United Kingdom as of 2020.
The more exact type seems to be pinto bean, but this is close enough.
2021-03: same but 2.5 teaspons, seems to be the right ammount.
2021-02-10: attempt 3: 500g 1 hour 30 minutes no pressure, uncontrolled water. Salt with one chorizo: put 3 teaspoons, it was a bit too much, going to do 2 next time and see.
2020-12-14: attempt 3: 250g of beans, 1.5l of water, 30 minutes pressure.
2020-11-30: attempt 2: 275ml of dry beans, about 50% of 500g bag, putting 1650 ml (6x) of water on pressure cooker Still had to throw out some water.
Density dry raw: 216 g/250 ml = 432 g / 500 ml = 500 g / 580 ml = 864 g/L
500 g dry expands to in water after 12 hours: 1200 ml
Therefore 500 g dry = 864 / 2 L = 432 ml expands about 3x.
Therefore, to the maximum 2.5L of the cooker with 8x dry volume water from this recipe I can use:and so:which is about 227 / 580 = 40% of the 500 g bag.
2500 = volume expanded bean + volume water = 3 volume dry bean + 8 volume dry bean = 11 volume dry bean
volume dry bean = 2500/11 = 227ml
After first try, I found that 8x volume of water is way, way too much. Going to try 6x next time.
Original 1931 experiment by Raman and Bhagavantam: dspace.rri.res.in/bitstream/2289/2123/1/1931%20IJP%20V6%20p353.pdf
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