Your English writing platform
Discover LudwigExact(11)
The experimental results, obtained on representative problem instances, confirm the effectiveness of the proposed methods.
A comprehensive test suite is developed to generate representative problem instances with different characteristics.
For each of these problems, the reader is provided with a computer program as adjusted for the relevant representative problem.
This improved analysis and the finite-element solution are new and show that the earlier results appear adequate for a representative problem.
The mathematically stable Leonov model written in tensor-logarithmic formulation is employed in the framework of finite element method for spatial discretization of several representative problem domains.
The aim of the present work is to revisit all existing parallelization alternatives, including emerging technologies like software-only speculative parallelization, to solve on different architectures the same representative problem: The computation of the convex hull of a point set.
Similar(49)
Results are validated using model problems and the full potential is demonstrated for two representative problems.
Representative problems of tool/technique usage are depicted and contextualised by illustrating their industrial application.
BiOSS has been applied to 5 representative problems of ontology selection.
Several representative problems are solved to validate and to demonstrate the methodology.
This page gives a visual introduction to some representative problems that can be solved by this new method.
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