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The design of an algorithm involves its description at an abstract level by means of a pseudo-language and the proof that the algorithm is correct.
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The success of this implementation is a proof that this algorithm is ready to use at least in cases close to the given example.
Iterative algorithms have been presented in [2 4] for the convex optimization problem with a fixed point constraint along with proof that these algorithms converge strongly to the unique solution of problems with a strongly monotone operator.
The main contribution of this paper is a constructive proof that leads straightforwardly to an algorithm that computes the skewness of the MPD in Θ(n) time.
The proofs also show that the algorithm NEWTSDS saves us a lot of effort to avoid tedious calculation, so that we can concentrate on the mainline of the process.
There is an algorithm to recover the formulas that constitute a proof of the type of the combinator, moreover, the algorithm produces a proof that is minimal and well-structured.
It is easy to see from the proof of Theorem 1 that the Algorithm 1 is always well defined.
The distributed scheduling method proposed by Yu et al. [46] can generate conflict-free schedules where the upper limit of delay is 24D + 6∆ + 16 time slots, and the diameter of network is D. Xu et al. [47] gave theoretical proof that their algorithm can generate the aggregation schedule where the upper limit of delay is 16 + R∆ − 14 time slots.
Every constructive proof embodies an algorithm that, in principle, can be extracted and recast as a computer program; moreover, the constructive proof is itself a verification that the algorithm is correct — that is, meets its specification.
Stephen concluded with an algorithm (without proof) that produces sets S with S>1+log_2(n) for n = 24, 46, 88, and potentially infinitely more.
It turns bug detection into a mathematical algorithm, generating a correctness proof that guarantees software has no memory leaks or illegal pointer references.
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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