Skip to content
Carmelics
TopicsThinkersChangesContributorsLoading account…

    Carmelics

    A reasoning platform. Break down any belief into clear reasons, explore both sides, and weigh the evidence honestly.

    Navigate

    • Topics
    • Search
    • Recent Changes
    • Contribute
    • How It Works
    • Glossary
    • Thinkers
    • Contributors
    • About
    • Statistics
    • Terms
    • Privacy

    Database

    Statements
    —
    Perspectives
    —
    Topics
    —

    Press ? for keyboard shortcuts

    LoyalLoyalJusticeJustice
    Made withinDC&Austin
    P is a subset of BPP — Carmelics
    Statements
    321,452
    Perspectives
    108,905
    Topics
    42
    Home/Truth & Knowledge
    HistoryEditSee Inverse

    P is a subset of BPP

    All sources support itTruth & Knowledge
    ?Rate how convincing each reason is below to see the overall strength.
    5 reasons for
    0 reasons against

    Reasons For

    5 perspectives
    Reason for 1 of 5
    ?
    • 1.The standard Turing machine model corresponds to a special case of the probabilistic Turing machine model
      ?

      Think about whether this reason is strong or weak

    • 2.BPP includes all problems decidable by a probabilistic Turing machine running in polynomial time with bounded error probability
      ?

      Think about whether this reason is strong or weak

    Reason for 2 of 5
    ?
    • 1.The standard deterministic Turing machine model is a special case of the probabilistic Turing machine model
      ?

      Think about whether this reason is strong or weak

    • 2.BPP is defined to include all problems solvable by a probabilistic Turing machine in polynomial time with error probability bounded away from one-half
      ?

      Think about whether this reason is strong or weak

    Reason for 3 of 5
    ?
    • 1.The standard Turing machine model is a special case of the probabilistic Turing machine model
      ?

      Think about whether this reason is strong or weak

    • 2.BPP is defined to include all problems solvable by probabilistic Turing machines in polynomial time with bounded error
      ?

      Think about whether this reason is strong or weak

    Reason for 4 of 5
    ?
    • 1.The standard Turing machine model corresponds to a special case of the probabilistic computation model
      ?

      Think about whether this reason is strong or weak

    • 2.Any problem solvable by a deterministic Turing machine is also solvable by a probabilistic one
      ?

      Think about whether this reason is strong or weak

    Reason for 5 of 5
    ?
    • The standard deterministic Turing machine model is a special case of the probabilistic Turing machine model used to define BPP
      ?

      Think about whether this reason is strong or weak

    Sign in or register to share your perspective on this statement.

    Next step

    Based on where you are in your exploration

    Browse more in Truth & Knowledge
    Related propositions within the same area of thought.

    Topics

    Truth & KnowledgeAll sources support it

    Connections

    2 topics

    Proof of definition segments5 linkedModality & Possibility3 linked

    Related

    Any problem solvable by a deterministic Turing machine is also solvable by a pro...BPP includes all problems decidable by a probabilistic Turing machine running in...BPP is defined to include all problems solvable by a probabilistic Turing machin...BPP is defined to include all problems solvable by probabilistic Turing machines...
    +5 moreShow less
    The standard Turing machine model corresponds to a special case of the probabili...The standard Turing machine model corresponds to a special case of the probabili...

    Similar

    PSPACE is a subset of NPSPACE100%P is a subset of NP100%NC is a subset of P100%PSPACE is a subset of NPSPACE (PSPACE ⊆ NPSPACE)96%

    Source

    AI-extracted1/3 agreementValid
    SEP: computational-complexity
    View source passageHide passage
    Nonetheless, \(\mathfrak{P}\) is a useful theoretical model in that it provides a formal medium for implementing procedures which call for certain operations to be carried out simultaneously in parallel. g. , Papadimitriou 1994). But this observation would still be of little practical significance if the algorithms in question achieved such speed up only at the cost of having to employ exponentially many processors relative to the size of their inputs. For in this case it seems that we would hav
    Extraction notes

    Validity: Extracted via Max plan + API grounding/validity checks

    Details

    The standard Turing machine model is a special case of the probabilistic Turing ...
    The standard deterministic Turing machine model is a special case of the probabi...
    The standard deterministic Turing machine model is a special case of the probabi...
    Type
    claim
    Perspectives
    5 (5 for, 0 against)
    Edits
    1 edit