Your English writing platform
Discover LudwigExact(1)
This definition seeks to formalize the intuitive characterization of a problems decidable by a probabilistic algorithm as one for which there exists a decision procedure which can make undetermined choices during its computation but still solves the problem correctly in a 'clear majority' of cases (i.e. with probability \(p\) bounded away from \(\frac{1}{2}\frac{1}{
Similar(59)
The problem and its solution were first proposed by Chen and Chao (2011) [1], but we found that their algorithm cannot solve the problem correctly.
What do they value most: that they solved the right problem, that they solved the problem correctly, that they got the job done, or how everyone felt about the job?
Fortunately, it turned out that all cases treated here were contractible and hence the algorithm could solve the problem correctly.
Ideally, feedback should be intrinsically based on the student's realization that he or she has solved the problem correctly, and not come from the teacher at all.
When you have solved the problem correctly, look back at your process.
The solution below correctly solves the problem.
"It solves the problem".
Viagra solves the problem.
Demonstrate how the product solves the problem.
Successfully solving the inverse problem relies on solving the forward problem correctly, because the two problems share one component light propagation in the medium.
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