It takes computer power, but it is Solvable.
But these problems are completely Solvable.
Lots of your problems are Solvable.
Whether all games should be Solvable.
These are all“Solvable” things.
The problem they were facing was not Solvable.
If the worry is not Solvable, accept the uncertainty.
Only 31% of problems are actually very straightforward and Solvable.”.
Solvable game generation based on algorithm by Michael
Meeks in GNOME mahjongg.
Productive, Solvable worries are those you can do something about straight away.
Productive, Solvable worries are those you can take action on right away.
An NP problem that is also P is Solvable in P time.
Minor crimes probably mean that there
is an underlying social problem that is Solvable.
Further, PhotoCity shows that problems related to sampling and
data quality are potentially Solvable.
If it is not zero, then the system is Solvable and has a unique solution.
Comfort and comfort in housing with limited footage is not an easy, but Solvable question.
But in focusing on those really basic, Solvable SDGs, we mustn't forget the whole package.
Poverty and
disease in poor countries are the clearest examples we know of Solvable human misery.
They were asked to solve anagrams, some sets of which were Solvable while others were largely not.
Russell himself in life noticed that
this paradox is different from his version, and that he is quite Solvable.
Is there any conjecture that has been proved to be Solvable/provable but whose direct solution/proof is not yet known?
Participants in the happy room who had Solvable anagrams, and therefore experienced no failure,
did not ruminate on the anagrams at all.
And when all the conditions are met, the problem of how to restore a
deleted application on an iPhone becomes completely Solvable.
Now, deep learning-based AI systems can figure out the important features for solving difficult
problems that were once thought to be Solvable exclusively by humans.
The bugs found are not excessive or
extremely serious, all Solvable with updates in itinere that, at least as has been seen
so far, are certainly not missed.
Another point I wanted to make quick mention of is that any algorithm that has a complexity of O(na)
is said to have polynomial complexity or is Solvable in polynomial time.
What makes NP-complete problems important is that if a deterministic polynomial time algorithm can be found to solve one of them,
every NP problem is Solvable in polynomial time(one problem to rule them all).
Another point I wanted to make quick mention of is that any algorithm that has a complexity of
O(nk) for any constant k is said to have polynomial complexity or is Solvable in polynomial time.
Although in general the problem of finding all programming
errors given a specification is not Solvable(see halting problem),
these tools exploit the fact that human programmers tend to make the same kinds of mistakes when writing software.