Quantization
Quantization (possess, Quantization) is processing to do to quantity of a certain physics becoming the integer double of the quantum or integer double.
What I can match quantity of physics regarded as quantity of continuation in Newtonian mechanics in physics with a quantum-mechanical quantum condition, and is observed as a discrete (skipping) value.
It is not an approximation to express quantity of continuation with discontinuous quantity.
When it points at procedure itself to switch over from the theory of the Newtonian mechanics to a quantum-mechanical theory, there is it.
There is quantization in plus associate quantization, course integral calculus quantization, a probability process to be concrete.
In information theory, express analog data (quantity of continuation) with the discrete values such as digital data approximately.
Generally precision of the quantization stops when I enlarge the range of the value that I can take for a disintegration price (when, for example, I increase the number of the bits to use to express a value).
I lose the precision of the value in the data compaction, and dividing it into more few (coarse) sections again.
I call that I return it to the original section reverse quantization.
What I can match quantity of physics regarded as quantity of continuation in Newtonian mechanics in physics with a quantum-mechanical quantum condition, and is observed as a discrete (skipping) value.
It is not an approximation to express quantity of continuation with discontinuous quantity.
When it points at procedure itself to switch over from the theory of the Newtonian mechanics to a quantum-mechanical theory, there is it.
There is quantization in plus associate quantization, course integral calculus quantization, a probability process to be concrete.
In information theory, express analog data (quantity of continuation) with the discrete values such as digital data approximately.
Generally precision of the quantization stops when I enlarge the range of the value that I can take for a disintegration price (when, for example, I increase the number of the bits to use to express a value).
I lose the precision of the value in the data compaction, and dividing it into more few (coarse) sections again.
I call that I return it to the original section reverse quantization.
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