Your English writing platform
Discover LudwigExact(3)
The usefulness of the SZOA algorithm is shown on six mathematical functions including two unimodal functions and four multimodal functions.
A block diagram describing the classification algorithm is shown on Figure 3. Figure 3 General block diagram of the classficication algorithm.
The pseudo-code of the algorithm is shown on Figure 3.
Similar(56)
The results for the new compression algorithm are shown on twelve low dynamic range BTFs and four high dynamic range publicly available BTF samples.
Results from the automatic classification algorithm are shown on the 2 plots.
Moreover, the online algorithm is shown to be on average at least 90% of the optimal.
The algorithm is shown to perform well on simulated data and on real-world graphs with known overlapping communities.
The algorithm is shown to work well on a CRAY X-MP vector processor as well as on a network of stand-alone workstations that simulates a multiprocessor computer.
The algorithm is shown to perform well on experimental data sets under some strong assumptions on the sparsity of the signal of interest and the interfering signal.
In the presence of noise, the convergence of the updating algorithm is shown to be dependent on a number of conditions which arise from two distinct cases: one convergent and the other divergent.
This heuristic algorithm is shown to provide very tight bounds on the randomly generated instances in a short computation time.
Write better and faster with AI suggestions while staying true to your unique style.
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