Sentence examples for algorithm correctness from inspiring English sources

The phrase "algorithm correctness" is correct and usable in written English.
It can be used in discussions related to computer science, mathematics, or software engineering, particularly when evaluating whether an algorithm produces the expected results.
Example: "The team conducted extensive testing to ensure the algorithm correctness before deployment."
Alternatives: "correctness of the algorithm" or "validity of the algorithm".

Exact(7)

Understanding how and when to exploit non-determinism while preserving guarantees on algorithm correctness will be a key part of managing the machine learning life-cycle and exploiting the high-performance systems of the future.

Simulated data were examined to analyze the algorithm correctness.

Theoretical analysis of the background algorithm correctness is presented in [133].

Algorithm correctness is fundamental since it is impracticable to deploy an invalid configuration, i.e., a configuration that does not fulfill feature constraints and resource restrictions.

Field II simulator is a widespread tool to generate reliable medical ultrasonic imaging input data, especially for quantitative evaluation of the output image quality and verification of imaging algorithm correctness, which is its major benefit over real scenario.

While SMART is independent of any specific hardware realization, ARMOR is built as a hardware implementation of SMART to test its algorithm correctness and its adaption to engineering applications.

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Similar(53)

The proof of the dynamic algorithm's correctness and effectiveness are elaborated.

We also characterize the algorithm's correctness under time-varying interaction topologies and study its privacy preservation properties.

In order to prove the algorithm's correctness, we first formulate an auxiliary lemma.

Distributed Algorithms ¿ Correctness, Impossibility Results; Convergence of Bellman-Ford.

Users select input functions at run time for testing numerical algorithms for correctness (verification testing), for model exploration (behavioral analysis) or for analyzing data as for steps 6 and 7 in our "13-Step" process.

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