Matches in DBpedia 2016-04 for { ?s ?p "In computational complexity theory, BPP, which stands for bounded-error probabilistic polynomial time is the class of decision problems solvable by a probabilistic Turing machine in polynomial time with an error probability bounded away from 1/3 for all instances.BPP is one of the largest practical classes of problems, meaning most problems of interest in BPP have efficient probabilistic algorithms that can be run quickly on real modern machines. BPP also contains P, the class of problems solvable in polynomial time with a deterministic machine, since a deterministic machine is a special case of a probabilistic machine.Informally, a problem is in BPP if there is an algorithm for it that has the following properties:It is allowed to flip coins and make random decisionsIt is guaranteed to run in polynomial timeOn any given run of the algorithm, it has a probability of at most 1/3 of giving the wrong answer, whether the answer is YES or NO."@en }
Showing triples 1 to 2 of
2
with 100 triples per page.
- BPP_(complexity) abstract "In computational complexity theory, BPP, which stands for bounded-error probabilistic polynomial time is the class of decision problems solvable by a probabilistic Turing machine in polynomial time with an error probability bounded away from 1/3 for all instances.BPP is one of the largest practical classes of problems, meaning most problems of interest in BPP have efficient probabilistic algorithms that can be run quickly on real modern machines. BPP also contains P, the class of problems solvable in polynomial time with a deterministic machine, since a deterministic machine is a special case of a probabilistic machine.Informally, a problem is in BPP if there is an algorithm for it that has the following properties:It is allowed to flip coins and make random decisionsIt is guaranteed to run in polynomial timeOn any given run of the algorithm, it has a probability of at most 1/3 of giving the wrong answer, whether the answer is YES or NO.".
- Q796890 abstract "In computational complexity theory, BPP, which stands for bounded-error probabilistic polynomial time is the class of decision problems solvable by a probabilistic Turing machine in polynomial time with an error probability bounded away from 1/3 for all instances.BPP is one of the largest practical classes of problems, meaning most problems of interest in BPP have efficient probabilistic algorithms that can be run quickly on real modern machines. BPP also contains P, the class of problems solvable in polynomial time with a deterministic machine, since a deterministic machine is a special case of a probabilistic machine.Informally, a problem is in BPP if there is an algorithm for it that has the following properties:It is allowed to flip coins and make random decisionsIt is guaranteed to run in polynomial timeOn any given run of the algorithm, it has a probability of at most 1/3 of giving the wrong answer, whether the answer is YES or NO.".