BPP

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Definition : Bounded-error Probabilistic Polynomial-time
Category : Computing » General Computing
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What does BPP mean?

Bounded-error Probabilistic Polynomial-time (BPP) is a complexity class in computational theory, primarily used in the analysis of randomized algorithms. It represents the set of decision problems that can be efficiently solved by a probabilistic Turing machine.

Note:
A probabilistic Turing machine is a Turing machine that can make random choices during its computation.

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Frequently Asked Questions (FAQ)

What is the full form of BPP in Computational Complexity ?

The full form of BPP is Bounded-error Probabilistic Polynomial-time

What are the full forms of BPP in Computing?

bits per pixel | Bin Packing Problem | Bounded-error Probabilistic Polynomial-time | Business Process Platform | Bidirectional Parallel Port

What are the full forms of BPP in Worldwide?

bits per pixel | BioPhysical Profile | Bin Packing Problem | Beam Parameter Product | Border Patrol Police | Bounded-error Probabilistic Polynomial-time | Business Process Platform | Business Plan Presentation | Breakthrough Propulsion Physics | Billion Prices Project | Bidirectional Parallel Port

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