Examples of using Random sequence in English and their translations into Slovenian
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It's pretty difficult to consciously pick a random sequence.
After all, any particular random sequence of 41 outcomes is also highly improbable.
We're up against 64-bit encryption. A password that's a random sequence of 12 symbols.
People will rate random sequences theyhave heard on repeated loop as more musical than a random sequence they have only heard once.
A similar effect happens with random sequences of sound.
Superstition, it's bringing a… A probabilistic framework and projecting meaning onto a completely random sequence.
Random sequences also contain little information, because there are many possible random sequences(so Ω1 is almost as large as Ω0).
Enter passphrase for %1:Passphrase should include non alphanumeric characters and random sequences.
Denjoy's probabilistic argument for the Riemann hypothesis(Edwards 1974) is based on the observation that if μ(x)is a random sequence of"1"s and"- 1"s then, for every εgt; 0, the partial sums.
There are also controls for changing the way the sequencer plays notes,allowing you to create sequences from back to front or trigger a random sequence.
They take the information in the block, and apply a mathematical formula to it, turning it into a far shorter,seemingly random sequence of letters and numbers known as a hash.
This ensures that items or numbers in the sequence can never be predicted,making the sequence indistinguishable from a truly random sequence.
It is an open question, and one central to the theory and practice of cryptography, whether there is any way todistinguish the output of a high-quality PRNG from a truly random sequence, knowing the algorithms used, but not the state with which it was initialized.
A requirement for a CSPRNG is that an adversary not knowing the seed has the only negligibleadvantage in distinguishing the generator's output sequence from a random sequence.
It is an open question, and one central to the theory and practice of[[cryptography]], whether there is any way todistinguish the output of a high-quality PRNG from a truly random sequence, knowing the algorithms used, but not the state with which it was initialized.
The security of most cryptographic algorithms and protocols using PRNGs is based on the assumption that it is infeasible to distinguishuse of a suitable PRNG from use of a truly random sequence.
Distances between where certainvalues occur are distributed differently from those in a random sequence distribution.
These include: Shorter than expected periods for some seed states(such seed states may be called'weak' in this context); Lack of uniformity of distribution for large quantities of generated numbers; Correlation of successive values; Poor dimensional distribution of the output sequence; The distances between where certainvalues occur are distributed differently from those in a random sequence distribution.
An example of this is one-time pad cryptography,where every cleartext bit has a corresponding key from a truly random sequence of key bits.
In other words, the Riemann hypothesis is in some sense equivalent to saying that μ(x)behaves like a random sequence of coin tosses.
In the case of a police investigation of an accident or vehicle-related crime, witnesses usually remember the initial area code letters- it is then quite simple to narrow down suspect vehicles to a much smaller number by checking the authority's database without having to know the full number.[16] The scheme should have sufficient numbers to run until 31 August 2050,assuming there are enough 3 letter random sequences for every combination of area code and age identifier.
A sequence of random numbers has a high probability of containing no identical consecutive elements.
K1- A sequence of random numbers with a low probability of containing identical consecutive elements.
A mutation is a random change in a sequence of nucleotides.
People expect that a sequence of events generated by a random process will represent the essential characteristics of that process even when the sequence is short.
Iii misconceptions of chance(itis expected that a sequence of events generated by random process will represent the essential characteristics of that process even when the sequence is short.).
The Misconception of Chance which is describedas‘people expect that a sequence of events generated by a random process will represent the essential characteristics of that process even when the sequence is short'2.
Model-based statistics are from a mixed effects linear model using CFA-72h as the response variable, fixed effect factors for treatment, period and treatment sequence, and subject within treatment sequence as a random effect.