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As we know that there does not exist any computer tool which guarantees about the complete correctness of the computer model.
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"The consensus committee then verifies the correctness of the computation results from the computation committee.
We use different mathematical and cryptographic methods to enable efficient verification of the correctness of the computation results.
One of the key steps to change this situation is to strengthen the correctness and fidelity of the computer graphics simulations, which can be achieved by addressing data constraints and open problems from an interdisciplinary perspective.
Some illustrative examples are accompanied where necessary to the readers for better understanding the fundamental basis and for enhancing the reliability (correctness) of the self-developed computer codes before larger, complicated KF designs are performed.
Yet when we rely on a computer to generate part of a proof, we appear to rely on the proper functioning of computer hardware and on the correctness of a computer program.
In order to verify the correctness of the proposed algorithm, a computer simulation is developed.
In particular, reasoning about the correctness of computer systems requires induction and an automated reasoning program that effectively implements induction will have important applications.
Eric Winsberg (2010), Wendy Parker (2008) and others have shown that scientists use strategies quite similar to those discussed in Section 1.1.1, to argue for the correctness of computer simulations.
We know that no computer tool can guarantee about 100% correctness of a computer model.
We know there does not exist any computer tool which may promise about complete correctness of a computer model.
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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