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Problem is thirty.
If a problem is 30, the problem is the person who sits 30 cm from the computer screen.
Exact(19)
Geophysical data on the carbon amounts in oil, gas and coal show that the problem is solvable, if we phase out global coal emissions within 20 years and prohibit emissions from unconventional fossil fuels such as tar sands and oil shale.
So, applying Theorem 3.1, the problem is solvable and it has a maximum solution.
For simplicity, we will adjust and define parameters so that the problem is solvable.
Similar to the proof of Theorem 4.1, from Theorem 3.1, the problem is solvable.
The aforementioned offline version of the problem is solvable only for small networks due to the number of binary variables that grow exponentially with network size and demands.
From Corollary 1.8 in Smithson [15] and the variational characterization of the metric projection (3.7), we have that the problem is solvable.
Similar(40)
In particular, Schwarz [12] had shown that the problem was solvable if the boundary was piecewise analytic.
This may sound like tautological reasoning, but when we solve a problem with machine intelligence, it simply means the problem was solvable with machine intelligence; it doesn't mean we created human-level intelligence.
I made the assumption that the problem was solvable.
The good news is, the problems are solvable.
Although the NRE still needs development for space application, the problems are solvable with additional effort and funding.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.
Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com