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While the SET service API already supports lazy copying, the underlying implementation is inefficient and based on a log of changes per element with an associated version number.
Recent work have demonstrated the plausibility of GPU SCC decomposition, but the implementation is inefficient due to insufficient consideration of the distinguishing GPU programming model, which leads to poor performance on irregular and sparse graphs.
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With 'non-implementation', policies are not put into effect as intended because those involved in the implementation are inefficient or because it was not possible to overcome obstacles despite their best efforts.
The ciphertext expansion factor caused by AES, Paillier and ElGamal cryptosystems was relatively small, but the Lewi-Wu implementation is very inefficient in this regard, having an expansion of about 400×.
However, its implementation in educational practice is inefficient.
The previously presented implementation is straightforward but is inefficient because it involves too many iterations and wastes lots of valuable computing resources in an iteration.
The current implementation of our program is inefficient in its use of computer processing power because it is written in an interpreted language (Microsoft Visual Basic 6.0).
Integration by re-implementation into a single platform is inefficient and error prone.
This is inefficient.
Still, it is inefficient.
It is inefficient.
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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