Examples of using Random bits in English and their translations into Portuguese
{-}
-
Colloquial
-
Official
-
Medicine
-
Financial
-
Ecclesiastic
-
Ecclesiastic
-
Computer
-
Official/political
Algorithms that use random bits are called randomized algorithms.
PCP("poly", 0), the class of polynomial-time machines with access to polynomially many random bits is co-RP.
Finally here are a few random bits of wit, wisdom or woundedness.
A probabilistic Turing machine is a deterministic Turing machine with an extra supply of random bits.
Because of this, the random bits are passed through a'debiasing' algorithm due to Von Neumann.
The"randomness complexity""r"("n") of the verifier is the maximum number of random bits that"V" uses over all"x" of length"n.
Let L be a language in BPP, and let M(x, r) be a polynomial-time algorithm that decides L with error≤ 1/3 where x is the input string andr is a set of random bits.
This is called a public coin protocol, because the random bits("coin flips") are visible to both machines.
A pseudorandom variable is a variable which is created by a deterministic algorithm, often a computer program or subroutine,which in most cases takes random bits as input.
RCEnhancePB is a bundle that adds a few random bits of functionality to the old ProjectBuilder. app ProjectBuilderWO on MacOS X.
These readings gave me context and enabled me to understand the material in its entirety,rather than random bits to be memorized.
The simplest form of fuzzing technique is sending a stream of random bits to software, either as command line options, randomly mutated protocol packets, or as events.
Another common reformulation is simply a deterministic Turing machine with an added tape full of random bits called the"random tape.
PCP P A logarithmic number of random bits doesn't help a polynomial time Turing machine, since it could try all possibly random strings of logarithmic length in polynomial time.
The result is that the verifier cannot"hide" anything from the prover,because the prover is powerful enough to simulate everything the verifier does if it knows what random bits it used.
A very useful interactive proof system is PCP(" f"(" n"),"g"("n")),which is a restriction of MA where Arthur can only use"f"("n") random bits and can only examine"g"("n")bits of the proof certificate sent by Merlin essentially using random access.
Almost random==A pseudorandom variable is a variable which is created by a deterministic procedure(often a computer program or subroutine) which(generally)takes random bits as input.
If the source is truly random and the signal averages at exactly the reference voltage,this should theoretically give us pure random bits with in an exact 50-50% proportion of zeros and ones.
In computational complexity theory, the PCP theorem(also known as the PCP Characterization Theorem) states that every decision problem in the NP complexity class has probabilistically checkable proofs(proofs that can be checked by a randomized algorithm) of constant query complexity andlogarithmic randomness complexity uses a logarithmic number of random bits.
A major result of complexity theory is that NP can be characterized as the problems solvable by probabilistically checkable proofs where the verifier uses O(log"n") random bits and examines only a constant number of bits of the proof string the class PCPlog"n", 1.
Indeed, as a consequence of the proof of this fact,every BPP algorithm operating on inputs of bounded length can be derandomized into a deterministic algorithm using a fixed string of random bits.
In Arthur-Merlin protocols, Babai defined a similar class AM[" f"(" n")] which allowed"f"("n") rounds, but he put one extra condition on the machine:the verifier must show the prover all the random bits it uses in its computation.
The class PCP[" r"(" n"),"q"("n")]refers to the set of decision problems that have probabilistically checkable proofs that can be verified in polynomial time using at most"r"("n") random bits and by reading at most"q"("n")bits of the proof.
This process is then repeated from the random bit stage, with Alice recording the state, basis and time of each photon sent.
Alice creates a random bit(0 or 1) and then randomly selects one of her two bases(rectilinear or diagonal in this case) to transmit it in.
Ueli Maurer's“ Universal Statistical Test for Random Bit Generators”(MUST) quickly measures the entropy of a sample.
So, the analog comparator output should be a random bit dancing to the sound of the white noise.
In doing so, the students gained experience with channel coding, modulation,timing recovery, random bit generation, and many other topics associated with a modern digital communication system.
The challenge oracle selects one of the messages by flipping a fair coin(selecting a random bit formula_7), encrypts the message formula_8 under the public key, and returns the resulting"challeging ciphertext" formula_9 to the adversary.
The challenge oracle selects one of the messages by flipping a fair coin(selecting a random bit b∈{ 0, 1}{\displaystyle b\in\{0,1\}}), encrypts the message m b{\displaystyle m_{b}} under the public key, and returns the resulting challenging ciphertext c{\displaystyle c} to the adversary.