Wondering how to use Prng in a sentence? Below are 5 example sentences from authentic English texts. Including the meaning .
Prng meaning
Initialism of pseudorandom number generator.
Using Prng
- The main meaning on this page is: Initialism of pseudorandom number generator.
Context around Prng
- Average sentence length in these examples: 18.6 words
- Position in the sentence: 1 start, 3 middle, 1 end
- Sentence types: 5 statements, 0 questions, 0 exclamations
Corpus analysis for Prng
- In this selection, "prng" usually appears in the middle of the sentence. The average example has 18.6 words, and this corpus slice is mostly made up of statements.
- Around the word, first, generates and algorithms stand out and add context to how "prng" is used.
- Recognizable usage signals include in the prng and my and most prng algorithms produce. That gives this page its own corpus information beyond isolated example sentences.
- By corpus frequency, "prng" sits close to words such as aaba, aafc and aaib, which helps place it inside the broader word index.
Example types with prng
The same corpus examples are grouped by length and sentence type, making it easier to see the contexts in which the word appears:
It was the first PRNG to provide fast generation of high-quality pseudorandom integers. (14 words)
Most PRNG algorithms produce sequences which are uniformly distributed by any of several tests. (14 words)
My brother is currently in the PRNG, and my cousin is in the Army, prior Air Force. (17 words)
In general, careful mathematical analysis is required to have any confidence that a PRNG generates numbers that are sufficiently close to random to suit the intended use. (27 words)
The size of its period is an important factor in the cryptographic suitability of a PRNG, but not the only one. (21 words)
My brother is currently in the PRNG, and my cousin is in the Army, prior Air Force. (17 words)
Example sentences (5)
My brother is currently in the PRNG, and my cousin is in the Army, prior Air Force.
In general, careful mathematical analysis is required to have any confidence that a PRNG generates numbers that are sufficiently close to random to suit the intended use.
It was the first PRNG to provide fast generation of high-quality pseudorandom integers.
Most PRNG algorithms produce sequences which are uniformly distributed by any of several tests.
The size of its period is an important factor in the cryptographic suitability of a PRNG, but not the only one.