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The correctness and complexity of the DNA algorithm are discussed and proved.
ACL, RAG, ENC, WSM, and SWS worked on the model proposal and the design, correctness, and complexity of the algorithms.
While presenting the formalisms and algorithm, we will analyze the correctness and complexity of the algorithm, and demonstrate the proposed method with two benchmark CSPs, i.e., n-queen problems and coloring problems.
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Before proving the correctness and time complexity of the algorithm, we give the basic idea of our algorithm, which is based on the dynamical programming technique.
The correctness and computational complexity of the algorithm are proved.
We analyze and prove the correctness and time complexity of the algorithms in the proposed scheme.
The proposed scheme is presented in Section 4. We analyze the correctness and time complexity of the scheme, and then evaluate its performance in Section 5. Finally, we conclude the paper and discuss our future work in Section 6.
In Sects. 2 and 3, we present the algorithm and we prove its correctness and complexity.
Correctness and complexity proofs are provided and they show that our Dynamic-DSDP performs better, from a communication complexity viewpoint, than the existing protocols.
Then, correctness proofs and complexity measures are designed for the various levels of abstraction.
The correctness and reliability of the proposed model is validated.
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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