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A quite simple, but very time consuming Monte Carlo simulation have been considered in order to shown that making use of an uncomplicated and low cost computer architecture, it is possible to achieve great gains in terms of computational performance.
To further compare individual aligner with these two alignment algorithms mentioned above, we performed evaluation and comparative analysis of these aligners in terms of computational performance, alignment accuracy, and application-specific features.
We knew that in terms of computational performance it would be less efficient than other types of algorithm, especially Marchal's.
We implement two improvements in terms of computational performance for the estimation of the parameters for the Weibull model in AshCalc.
Two improvements in terms of computational performance are implemented in AshCalc for the estimation of the parameters for the Weibull model.
Extensive characterization experiments confirm the validity of the proposed emulator both in terms of accuracy and in terms of computational performance.
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For noisy data and in terms of computational cost, performance of the two algorithms is comparable for θ=1; DADM performs slightly better than Algorithm 3 for θ=3; and Algorithm 3 outperforms DADM for θ=5.
This is confirmed by showing that with the relaxation parameter evolving as a logarithmic function, ART can match in terms of image quality and overcome in terms of computational time the performance of MLEM and OSEM algorithms.
In the standard SOFLC architecture, the Performance Index table is generic, fixed a priori, and is of a 'grid-partition' structure making the whole scheme inefficient in terms of computational complexity and performance.
The proposed methods appear to be promising in terms of computational complexity and capacity performance.
Apart from decidability, another important feature of KR formalisms is tractability, that is how expensive the reasoning tasks are in terms of computational resources, e.g. performance time.
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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