probabilistic turing machines造句
例句與造句
- We prove it now in the case of probabilistic Turing machine, since his theorem.
- A probabilistic Turing machine is a deterministic Turing machine with an extra supply of random bits.
- Or can deterministic Turing machines efficiently simulate all probabilistic Turing machines with at most a polynomial slowdown?
- Therefore, the notion of acceptance of a string by a probabilistic Turing machine can be defined in different ways.
- That is, these problems can be solved by probabilistic Turing machines that use logarithmic space and never make errors.
- It's difficult to find probabilistic turing machines in a sentence. 用probabilistic turing machines造句挺難的
- The prover P is modeled as having unlimited computation power ( in practice, P usually is a probabilistic Turing machine ).
- Quantum Turing machines can be related to classical and probabilistic Turing machines in a framework based on transition matrices, shown by Lance Fortnow.
- The definition of "'ZPP "'is based on probabilistic Turing machines, but, for clarity, note that other complexity classes based on them include "'RP " '.
- Many types of Turing machines are used to define complexity classes, such as deterministic Turing machines, probabilistic Turing machines, non-deterministic Turing machines, quantum Turing machines, symmetric Turing machines and alternating Turing machines.
- One of the central questions of complexity theory is whether randomness adds power; that is, is there a problem which can be solved in polynomial time by a probabilistic Turing machine but not a deterministic Turing machine?
- The probabilistic Turing machines in the definition of "'BPL "'may only accept or reject incorrectly less than 1 / 3 of the time; this is called " two-sided error ".
- The probabilistic Turing machines in the definition of "'RL "'never accept incorrectly but are allowed to reject incorrectly less than 1 / 3 of the time; this is called " one-sided error ".
- Suppose " C " is the complexity class of decision problems solvable in logarithmithic space with probabilistic Turing machines that never accept incorrectly but are allowed to reject incorrectly less than 1 / 3 of the time; this is called " one-sided error ".
- As a consequence, a probabilistic Turing machine can ( unlike a deterministic Turing Machine ) have stochastic results; on a given input and instruction state machine, it may have different run times, or it may not halt at all; further, it may accept an input in one execution and reject the same input in another execution.