BPP
| Definition | : | Bounded-error Probabilistic Polynomial-time |
| Category | : | Computing » General Computing |
| Country/Region | : | Worldwide  |
| Popularity | : |
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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