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probabilistic turing machines造句

例句與造句

  1. We prove it now in the case of probabilistic Turing machine, since his theorem.
  2. A probabilistic Turing machine is a deterministic Turing machine with an extra supply of random bits.
  3. Or can deterministic Turing machines efficiently simulate all probabilistic Turing machines with at most a polynomial slowdown?
  4. Therefore, the notion of acceptance of a string by a probabilistic Turing machine can be defined in different ways.
  5. That is, these problems can be solved by probabilistic Turing machines that use logarithmic space and never make errors.
  6. It's difficult to find probabilistic turing machines in a sentence. 用probabilistic turing machines造句挺難的
  7. The prover P is modeled as having unlimited computation power ( in practice, P usually is a probabilistic Turing machine ).
  8. Quantum Turing machines can be related to classical and probabilistic Turing machines in a framework based on transition matrices, shown by Lance Fortnow.
  9. The definition of "'ZPP "'is based on probabilistic Turing machines, but, for clarity, note that other complexity classes based on them include "'RP " '.
  10. 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.
  11. 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?
  12. 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 ".
  13. 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 ".
  14. 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 ".
  15. 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.

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