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This algorithm uses hashing and provenance to find subexpressions that commute with sampling.
This algorithm uses the unstructured grids to obtain good computational efficiency and geometric flexibility.
This algorithm uses only integer-based sum operators and avoids floating-point and multiplication operators.
This algorithm uses only five transposition register and it is repeatable architecture.
This algorithm uses polynomial sequences as synchronization preamble instead of PN sequences.
This algorithm uses specific reference frame which gives accurate indication of robot situation.
This algorithm uses dynamic programming to construct an optimal tree for the guessing game.
This algorithm uses PIPE algorithm to optimize tree structures and PSO algorithm to optimize parameters.
This algorithm uses a cylindrical grid approximation technique to give both approximate solution and exact solution.
This algorithm uses a Markov modeling approach to calculate an R-R Markov score.
This algorithm uses a heuristic to provide efficient and accurate results while searching for associations.
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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